import os
import time
import xlrd
import xlwt
import requests
from xlutils.copy import copy
from fake_useragent import UserAgent

# HP DELL APPLE INTEL NINTEDO Honda_Motor Ford_Motor Canon
ua = UserAgent()
dict_1 = {
    'Nike': ['B07NMZ5Q66', 'B010RWD4GM', 'B07RFNMHL5', 'B007OY499S', 'B07QGXSQM2', 'B083PV5VCH', 'B07BPMTVPX',
             'B01JIPH51Y', 'B07FKCBY37', 'B007T2HFEG', 'B08NYFPGQ8', 'B07KD6MTMC', 'B07HDS7TVT', 'B07NL9Q5Z7',
             'B06XWGQWJC', 'B01MRHJ1CS', 'B072BXSD8Q', 'B0059CVERW', 'B08MGSZ8WY', 'B072QXZJM9', 'B099KWGSCZ',
             'B07QXZQBRH', 'B07FRSZZCV', 'B096VPSN49', 'B005AHBK52', 'B06XSFTPL7', 'B07ZJNWG8S', 'B08KGZCXZ6',
             'B007YH861M', 'B004IM7I7Y', 'B08TQHJ23M', 'B09XGD9MPJ', 'B07BJL8DNK', 'B08Q9ZKVLX', 'B00TRMAK98',
             'B08YP9KRK7', 'B08WTHJJ66', 'B098NGCQL8', 'B09PZ8SVF7', 'B08DNLVQZR', 'B00CBMSNW2', 'B084JHMJDF',
             'B09QJ7VCBD', 'B07ZJNXVJ7', 'B07L7S9FXV', 'B07SKCWL9W', 'B07H7SFGD1', 'B07YN129F7', 'B07FKCQ2TF',
             'B07KD9KDYG', 'B07KR17QWZ', 'B09C737SQ5', 'B0B33YLDD3', 'B08GJ4DXC4', 'B01FZ029D0', 'B06XSRPX37',
             'B01F46LI2S', 'B08NX75M62', 'B01N0MT59L', 'B0959JT4PV', 'B08NCNDJXF', 'B07FKCK3KK', 'B09JV9NJFK',
             'B08NYM6WM4', 'B0921FJPHL', 'B097S532NQ', 'B004Y6PQMS', 'B08R13QVJD', 'B07KD721DB', 'B072MGD87R',
             'B09KT3VHW7', 'B07BQPZ5RS', 'B008NLCP6A', 'B0953TX4SF', 'B07GBHZDW5', 'B07YHCS3H1', 'B07XHXRXYK',
             'B07JNJFDZ2', 'B07KMB7T5T', 'B08CY8F4K1', 'B09NR856YY', 'B098QKVLHM', 'B003AV7DMO', 'B098969F28',
             'B0B52JPSPR', 'B07S4KNDG2', 'B07NM2HPV8', 'B071947SKW', 'B08GJ47STW', 'B09PMKVXP4', 'B09PVL3666',
             'B07FKHK2H9', 'B010TR602K', 'B07KD5ZX1V', 'B08SC3KCGM', 'B00PZB1FWQ', 'B00K5CN73A', 'B098PDLJ15',
             'B013Y6PJZM', 'B072F27H3S', 'B08233HC6H', 'B01F46LI2S', 'B09J3DN9Y3', 'B0711C7BM4', 'B08NX75M62',
             'B07NJPR9R3', 'B01N0MT59L', 'B08NCNDJXF', 'B00KK6M7ZU', 'B09JV9NJFK', 'B07YKR46MS', 'B071K7BLZW',
             'B0921FJPHL', 'B0785MTQDS', 'B097S532NQ', 'B004Y6PQMS', 'B094DWDHT6', 'B08R13QVJD', 'B019DLSZV2',
             'B00PZB1F2G', 'B019DKYCE2', 'B09SQC6RHC', 'B08GJ3FWXW', 'B078Y6WS2P', 'B09KT3VHW7', 'B07BQPZ5RS',
             'B07GP4NP86', 'B078HMR8FQ', 'B072KK4CZK', 'B09T4QH5DL', 'B0953TX4SF', 'B07YLSL9VV', 'B07YHCS3H1',
             'B098L2D843', 'B00770CBP8', 'B09Z79CX1C', 'B07XHXRXYK', 'B0761YN4Q9', 'B07H8KJCG5', 'B08F9H7NTC',
             'B07KD91RYD', 'B005HJO52I', 'B0045SUAX0', 'B07L7QY5TF'],
    'Under Armour': ['B093LQSS1D', 'B093LR6S51', 'B077XQXJCJ', 'L5CWJ/ref=', 'B0785VXRX2', '36KT1/ref=', 'B07L9JBHXL',
                     'B078B27ZBY', 'B01GH5KOZ2', 'B07YXN8Q59', 'B086ZN383D', 'B07YXN6X6S', 'B0872DSD6G', 'B01M7S6LUP',
                     'B0872F9K99', 'B0872D417V', 'B00YO73TEY', 'B07J3CBHD6', 'B07PS6SV2L', 'B093MRZML2', 'B077XPFPBX',
                     'B09JNGFBZT', 'B086ZNDQRV', 'B07Z8G82GJ', 'B08NWJSK47', 'B08LNX6WKY', 'B0814SQJ7H', 'B087T8Q2C4',
                     'B082JGR1SL', 'W39H5/ref=', 'B093LX2M8V', 'B07CZCNVW5', 'B07SXCW5RQ', 'B08NWJG2GC', 'B093MSXWFX',
                     'B08NWJMVYL', 'B0874W4WQ9', 'B0874WPW59', 'B0785XTS55', 'B077YN8WWZ', 'B08LNN2Z9C', 'B082BGG9VH',
                     'B086ZND8BD', 'B09692P25W', 'B08LMWGXFS', 'B0874WJJGF', 'B07YXMTJZB', 'B093MHSHFZ', 'B09N9YWPSZ',
                     'B093ML8G7W', 'B089MQJWYP', 'B08LNYTH1W', 'B093MLVV4Z', 'B08NWMR7LT', 'B087TBCK6Y', 'B07Z8GN79D',
                     'B0872DQHHC', 'B08LP1BCQK', 'B093MLBT6N', 'B07D17QDRL', 'B07YXN8PVL', 'B09ZPT1DXP', 'B093K3MQ8R',
                     'B07BPDSPR1', 'B07CZFJCMR', 'B086ZMLNP3', 'B0968ZMX33', 'B09NB23X2K', 'B08LN6FXS6', 'B0874W4WMN',
                     'B09Q138YMB', 'B093MLD28V', 'B07K3QSY98', 'B08LP1BVL2', 'B07CZL5TWZ', 'B07YXN6WVZ', 'B078954P1K',
                     'B089T9139S', 'B082YPFXMF', 'B093LQF79Y', 'B086ZN6ZRT', 'B07PVQLL63', 'B08W3K1Q1Z', 'B07SXC8ZHV',
                     'B08LN5ZTNF', 'B0872NL7GG', 'B0886KRGS8', 'B01NAEIODL', 'B07CZD41P3', 'B09PFCJC1L', 'B0968ZMV6X',
                     'B07YXL8PZ8', 'B08FTK9GX9', 'B093K541QY', 'B07CZF88F6', 'B07Z6XD1ZC', 'B093K3MQ8R', 'B07BPDSPR1',
                     'B07PXV2XN4', 'B09692NZPM', 'B07472SDKN', 'B07CZFJCMR', 'B07D168GD2', 'B07Q249HGG', 'B07V7S4K42',
                     'B0968ZMX33', 'B0B6H7TVHF', 'B09NB23X2K', 'B0875D9MLJ', 'B09NF271HY', 'B08LN6FXS6', 'B01FFA0CM0',
                     'B0B6HBN1LN', 'B07YXMY7WD', 'B08LNZBFWM', 'B00YO77GA2', 'B0874W4WMN', 'B09Q138YMB', 'B093MLD28V',
                     'B08CFNDTFN', 'B07K3QSY98', 'B07VXN48WF', 'B08LP1BVL2', 'B086ZMR9P4', 'B07CZL5TWZ', 'B01FXGNEEO',
                     'B08LMBM7QW', 'B019ZFGWN4', 'B0874W7Z7R', 'B0881XKWQD', 'B07CZNHD5X', 'B07YXN6WVZ', 'B089T9139S',
                     'B08NWJNGYG', 'B00KTH2W3M', 'B093LQF79Y', 'B08CFQQP3D', 'B089KKJFBH', 'B086ZN6ZRT', 'B08MVB3F5D',
                     'B07PVQLL63', 'B08W3K1Q1Z', 'B09693Y153', 'B07CZQH8QB'],
    'Estee Lauder': ['B01GIA01CC', 'B00DZNZXJM', 'B07K1DJZ9K', 'B00C1MDG0G', 'slredirect', 'slredirect', 'slredirect',
                     'slredirect', 'slredirect', 'B004OFI54K', 'B00BNAOW3C', 'B00A6GDR8A', 'B09JX1W8G3', 'B08DHQCGH9',
                     'B003K58UEA', 'B07RWSQN4T', 'B0075KQCS2', 'B004KBETHU', 'slredirect', 'B07HRDV4SP', 'B08SHKGSVG',
                     'B00AJK5YVQ', 'B0017OLMVE', 'B01N3NQ9VN', 'B01AYB72DC', 'B00IUIM4IK', 'B00682MUKW', 'B000C1Z5AW',
                     'B078PWLYMH', 'B08ZRQMCDS', 'B01JBKW7DM', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                     'B08HRNFY49', 'B07WZ2KG1S', 'B09PQ7C8NM', 'B073K2C8C1', 'B006Q9REIA', 'B07212J1F2', 'B00IMU2IPA',
                     'B00INK1Y8G', 'B09SPB4L64', 'B006NQV8M4', 'B084VDRW26', 'B0012RXR9G', 'B0009ML5I0', 'B006NQUHCG',
                     'B00D14K20U', 'B000P20Q0C', 'B01CL6SZOI', 'B08VW2M7Q3', 'B01LLVLSWK', 'B005CL39PA', 'B006NQUHXK',
                     'B00DQKUNH6', 'B074T9GHWS', 'B00017XNL0', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                     'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                     'B0B57RPJKR', 'B00WHSCZWE', 'B005N03CTS', 'B01ND074CK', 'B09GTRVNXF', 'B01L05D26M', 'B00JG7Y5T0',
                     'B08YWX1LMC', 'B09X4PDSBT', 'B09JZS8LSS', 'B00HWFO5AW', 'B015LLE1O8', 'B007VTTCYS', 'B08HM76HZH',
                     'B00OJGGFFA', 'B07K195FV4', 'B000WIEVEQ', 'B07SHQPNM9', 'B0927XD98Q', 'B08PTKLVJP', 'B01LLY7PI8',
                     'B07P94LTLQ', 'B00BVO8HN6', 'B01N5U7DG0', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                     'B000WIEW8Q', 'B00U93NHXU', 'B08MVCZJMZ', 'B087ZR77WW', 'B000C1VWIQ', 'B00I6E7XHU', 'B004FW6NY6',
                     'B00CAUJGRG', 'B08B85J8WQ', 'B003BMPA22', 'B00HYAX290', 'B00UOMLTIG', 'B008N0DF10', 'B00INK4XGQ',
                     'B01N5NYMEX', 'B01NAEZ2OJ', 'B08LSCH4ZK', 'B07Q6WWWXK', 'B002XIU2BY', 'B01M8HGF3A', 'B00BMR8T8K',
                     'B000VOPGO0', 'B00Q6SALWC', 'B00CAUJHRA', 'slredirect', 'slredirect', 'slredirect', 'slredirect'],
    'Procter & Gamble Co': ['slredirect', 'B000O5EE76', 'B00AHAWWO0', 'B00LH3DMUO', 'irect/pica', 'irect/pica',
                            'slredirect', 'slredirect', 'slredirect', 'B079VP6DH6', 'B07MF3DY3C', 'B0798DVT68',
                            'B07MHJFRBJ', 'B07HSF2BXB', 'B07HKR2QP9', 'B012CFJFOW', 'B005PLQIQ4', 'B07986PWD3',
                            'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B07YQDH1N1', 'B07HSF5HTX',
                            'B01H7DFM32', 'B01KZOTTSO', 'B076DDVRPG', 'B07VFPPS3Z', 'B00WE2GD4O', 'B07SG3Y66Y',
                            'B01KZ6V00W', 'B07BHXTZVB', 'B09P4P4PFJ', 'B01C307U7A', 'slredirect', 'slredirect',
                            'slredirect', 'slredirect', 'B072M3HHMX', 'B01ABVJWK6', 'B08MMD7T1Q', 'B01BZQJLFW',
                            'B004K95PBQ', 'B01MU1DEW5', 'B07RN9SJ4L', 'B07RJ7KTB7', 'B0798DVT69', 'B07D64B9RL',
                            'B079VP6DH5', 'B08QTSH5L2', 'B07QR1TL3M', 'B01M4RLBJU', 'B01BUNHFQM', 'B07PR1S91H',
                            'B08CFKB29L', 'B01MFI1M6P', 'B0016HF5GK', 'B09L533P4K', 'B01NGTV4J5', 'B01C3NAT16',
                            'B01NCW4524', '0844231657', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                            'slredirect', 'B085S97MWM', 'B076DJQDLZ', 'B01M63SQTI', 'B07N8SJ5GF', 'B0795WF49L',
                            'B003VD5TMM', 'B01M7STRD7', 'B07JRBSPZ3', 'B08NC672WV', 'B07BHWHD6T', 'B07N227N2M',
                            'B07JMHCFF8', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B073W8TGLK',
                            'B06VXND7JF', 'B07C9GJLN6', 'B07D1W33SD', 'B07G358Y3W', 'B0791V11PS', 'B01NCJSM2T',
                            'B084HCYGGL', 'B01N3QM0AZ', 'B09KXTPQ94', 'B001VEK1HQ', 'B01DJ41AP2', 'slredirect',
                            'slredirect', 'slredirect', 'slredirect', 'B000K2NW08', 'B00VND51XE', 'B07JMK7STT',
                            'B095L9HL9T', 'B01KZOTRG8', 'B0998BQ82N', 'B06WGLSRPZ', 'B07CL6WR1X', 'B00TB7422U',
                            'B09M9C6MMQ', 'B07D3H9LRJ', 'B0006ER7B0', 'B0170BHYGE', 'B01D5VN92G', 'B07ZVN828J',
                            'B001F51UC6', 'B07D3DXXWF', 'B09LKY1RH6', 'B07MVD27HC', 'B06X3ZYV7L', 'B0745DCG3W',
                            'B01M1S7GS6', 'B07BHXM91D', 'B089F523M8'],
    '3m': ['slredirect', 'B095FJ36H2', 'B09FM2P1KF', 'B008MCUZZS', 'B08J1THV9G', 'B00IF7RBS4', 'B00KYX8JBU',
           'B000TVSY9O', 'B007JZ1LG6', 'B009POHLRC', 'B0076HIPCU', 'B00AEXIS4S', 'slredirect', 'slredirect',
           'slredirect', 'B097F93LZ4', 'B007JZ1MK6', 'B00O68L0PG', 'B008MCUULW', 'B00AEFCKKY', 'B07571LL9K',
           'B07574ZLS1', 'B08WK79727', 'B00K0C3P64', 'B09LSHQ981', 'B001QWN8VE', 'B005KLZAYU', 'B007JZD754',
           'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
           'slredirect', 'B07571J7V9', 'B000BQ8DJI', 'B007JZ1NIM', 'B00BT2SWTE', 'B007JZ1N00', 'B008MCTLJE',
           'B01BU7038A', 'B00AEXKR4C', 'B00IF7R9LS', 'B09LFCW4Q3', 'B01C3CI9FK', 'B0020G2XOS', 'slredirect',
           'slredirect', 'slredirect', 'B08ZDTMD9F', 'B06W9JTG1V', 'B007Y7D4MI', 'B075Y2M1Q5', 'B007Y7CV86',
           'B00328IAO0', 'B009POIS5G', 'B076D21JSP', 'B002QWYG1O', 'B079X5C3QP', 'B00UY39TZ0', 'B000FW61EM',
           'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B0082LK8K6', 'B01CZ2Z8S4', 'B07SQH1SHM',
           'B001UO0WIU', 'B00DY9IXFI', 'B0146A4SWA', 'B0044M92SQ', 'B07PP87FKB', 'B0082LK752', 'B00O8NDAXE',
           'B007K0RTMA', 'B00AEFCP0E', 'slredirect', 'slredirect', 'slredirect', 'B00IF7R8K0', 'B016L26QS0',
           'B00ODP9LLW', 'B005RNGL9O', 'B00KTJJE1S', 'B003I3Q0UK', 'B005YSRW0E', 'B000FTEDMM', 'B00GXKNBT8',
           'B09KMFKQ34', 'B07571LKP4', 'B01CSPTIFW', 'slredirect', 'slredirect', 'B00P049EPI', 'B008MVYL7C',
           'B001D1JCK4', 'B000PENLMU', 'B000PENFAS', 'B00HXDK8PY', 'B0002STR1S', 'B007Y7D4A0', 'B00UAIC1ZE',
           'B005RNGZU4', 'B0002BBV2S', 'B09FKRDZCD', 'B08RY8M3K5', 'B0036C7APC', 'B06VWN2X96', 'B06WP5QG14',
           'B00GRT07GU', 'B005JPH5PE', 'B009POJ3GY', 'B000FW4LC6', 'B002SRVX9U', 'B01MCZ5RT1', 'B007Y7DC20',
           'B00M3LWACU'],
    'Canon': ['B07C2Z21X5', 'B0101RW3QK', 'B084BKKX8T', 'B08KSKV35C', 'B08KSJ4LY8', 'B07P158MTK', 'B07QFFNCG4',
              'B08KSKCPNG', 'B07Y3W3Q99', 'B08BVT9CK2', 'B086TTTZR5', 'B07QBD256Y', 'B0B2KSD7WW', 'B08BVXBG6J',
              'B07HH1PVRZ', 'B01BV14OXA', 'B07WFQYDD5', 'B07XYPVFCH', 'B079Y45KTJ', 'B07WFQZ6FL', 'B07N9KDCGV',
              'B082XLXTXZ', 'B07FXXVC74', 'B08KSLW8N3', 'B088MMTS9P', 'B0B2KV35NX', 'B07H484HLT', 'B07QKMHV87',
              'B072MZCJKN', 'B0B2KV6D97', 'B07KBD9GBN', 'B01BUYK04A', 'B07LGCHJBK', 'B01KURGS9E', 'B07WJYY49W',
              'B07TKNCQZL', 'B08YP52CV4', 'B084VTG7WP', 'B07WDLY364', 'B08C6CWVNZ', 'B071K62DPM', 'B019UDI5PO',
              'B07DTW9B8P', 'B01AA093UW', 'B07QHPT781', 'B0B27NSHB4', 'B0B1935YM9', 'B07QJ7VPD4', 'B001XURPQS',
              'B009B0MZ8U', 'B07TMRKP5T', 'B00IB1BTWI', 'B01MT3SZ46', 'B06XNTPN8C', 'B07WJYY49Q', 'B019UDI3JC',
              'B01BUYJX6G', 'B0012YA85A', 'B07WGQVT1X', 'B019UDHOMO', 'B00B5HE3IW', 'B005MTME3U', 'B019UDI87O',
              'B01LXGGR6K', 'B075K1MNYS', 'B06Y125DWZ', 'B00RKNND2W', 'B004J41T7Q', 'B08BW8H44J', 'B009B0MZ1M',
              'B00DMS0GTC', 'B07WHV3HXL', 'B07H489ZP4', 'B00BW6LWO4', 'B019UDIAI6', 'B001XURPQI', 'B004J3V90Y',
              'B072F53NMP', 'B0035FZJKI', 'B00UZF1IJW', 'B009B0MY6S', 'B006UMM2BW', 'B07WGQY643', 'B0007QKN22',
              'B09FFTM3F6', 'B07TMRQ72F', 'B004M170YC', 'B0778XYLJ6', 'B019UDHX7A', 'B00RKNMORM', 'B0779PCYR9',
              'B0075SUFSC', 'B01KURGSEE', 'B01BV14I40', 'B019UDI1EE', 'B07CP71BXQ', 'B019UDHT6U', 'B00AWYN0BU',
              'B00NEWYE12', 'B00RKNNA1G', 'B07WGQY643', 'B07CMSXWP6', 'B0040JHVCC', 'B0778XYLJ6', 'B07XM99XRV',
              'B00DMS0KAC', 'B002NEGTTW', 'B0101S1IP6', 'B07TMRQ72F', 'B07H489ZP4', 'B00RTGK5HQ', 'B01CQJHJ2E'],
    'Ford Motor': ['B000C9IQCS', 'B007QBTMW8', 'B007QBTJF8', 'B0031I9RFW', 'B000C9TT4W', 'B00171V26W', 'B012TYZMX4',
                   'B08WGZ7TGK', 'B007QBTG6U', 'B000C9SM22', 'B000IYY84M', 'B000IYY3KQ', 'B000C9S9NO', 'B000C9IJDO',
                   'B000C9QEEA', 'B004J6E1NS', 'B002VUH3OS', 'B0010DN8NM', 'B007QBTHRI', 'B007QBHVYO', 'B00496ILZC',
                   'B09474K3JY', 'B000IYXUBY', 'B000C9QXKA', 'B00S0LI3DM', 'B001DRN5S8', 'B001DRL7FG', 'B005QW67RW',
                   'B07CZ17LK3', 'B006N96GO6', 'B003YMVOII', 'B004J6IIZK', 'B0031I9RIO', 'B07CJHBT2P', 'B07FZCSK3C',
                   'B003YMX0WG', 'B000IYSAHI', 'B00S0QNL16', 'B00HQ2C6KM', 'B000C9S36W', 'B07CL6RM4V', 'B005545OTS',
                   'B000C9PVGC', 'B000C9M40S', 'B07CJMR3SB', 'B003YMVOR4', 'B004J68YJ0', 'B007QBT7AU', 'B00UIO2NW6',
                   'B010GP41FI', 'B012TYPQOY', 'B000C9S3OO', 'B00UIO39F6', 'B000C9IXOO', 'B007QBTEYE', 'B00KULNXDU',
                   'B006N94HNS', 'B003YMRNUG', 'B000C9N2QS', 'B00KUL9U1E', 'B000C9LJQI', 'B001NZXH9C', 'B000IZ16A0',
                   'B000C9RJDK', 'B094563DBG', 'B007QBV4PQ', 'B06Y5DC281', 'B00KULF4NM', 'B004J6KFME', 'B000C9SNFI',
                   'B003YMPR72', 'B00KULFZXQ', 'B000C9TOIS', 'B07NLX8WWN', 'B006N9832E', 'B00SKEDJTW', 'B010GM9ITA',
                   'B00S0QZ2XQ', 'B006N96TU2', 'B0010FVU30', 'B000C9QFF8', 'B000C9ME1M', 'B003YMRO9G', 'B000IYYXHY',
                   'B00KULDVUK', 'B005QW4JUE', 'B006N968PS', 'B001A544VA', 'B001KSED0Y', 'B000C9MERG', 'B00TL5Y8YE',
                   'B001KSQX0M', 'B000C9PFJK', 'B006N9GJAW', 'B000C9MVII', 'B006N96A38', 'B006N96A38', 'B00KULET38',
                   'B000C9TQM2', 'B000C9PVWQ', 'B0024F7Y9Y', 'B001A50112', 'B00S0DCDQS', 'B006N9IL6C', 'B006N96CT0',
                   'B01GQQSF1M', 'B01GQQU6AA', 'B00QXVN8S6', 'B08SBM9ZD8', 'B000C9H69C', 'B00555PBJA', 'B003YMX0OO',
                   'B07CJNV8RH', 'B000C9PEAU', 'B000C9FKVS', 'B00HFL3388', 'B000IZ18YY', 'B000C9KMN4', 'B000C9LR1A',
                   'B005QW39CS'],
    'Tesla': ['a/click?ie', 'B08ZCRSP2X', 'B01M3S4GL5', 'B099Y1P3T4', 'B098MLDSSG', 'B08G1VLWPT', 'B08MY65FZJ',
              'B08CMJQYJV', 'B09C88G6B6', 'B092B77F3Q', 'B009MQ4BLC', 'B09XHPL887', 'B019DR1AXG', 'a/click?ie',
              'a/click?ie', 'B09DCTJCTV', 'B083N1L7X1', 'B08D74G63M', 'B001D4YBQ6', 'B09VFTBKPL', 'B07ZL3DBGZ',
              'B08CBWL56C', 'B08SK73LZ1', 'B08HGQK323', 'B0B2P44HGK', 'B09J8MVRN1', 'B09ZXPHNJJ', 'a/click?ie',
              'a/click?ie', 'a/click?ie', 'a/click?ie', 'B00H8VCZRA', 'B07SPR2GND', 'B09WMR4F51', 'B09XBTT4B5',
              'B09T7B1MK1', 'B0929HM42D', 'B08RJSWRDV', 'B09PYSV9NW', 'B092VB8RWW', 'B098LLLSDJ', 'B0725YQ1JH',
              'B09TKK7RFV', 'B09YTGFHGG', 'B01HYBZG0Q', 'B01LY6FWHU', 'B07YK2H346', 'B08J4FQWCX', '0895249707',
              'B098W7ZWWB', 'B097MK242N', 'B084BNC3FG', 'B07KNZC63H', 'B095HB9W8T', 'B09RMLM6XT', 'a/click?ie',
              'a/click?ie', 'a/click?ie', 'a/click?ie', 'a/click?ie', 'a/click?ie', 'a/click?ie', 'a/click?ie',
              'a/click?ie', 'B0936RH9SH', 'B08NFPGZM4', 'B09F2FJTM9', 'B0052EVAIU', 'B0933BVK6T', 'B09PD9N6KR',
              'B00R92CL5E', 'B07V7V2QT8', 'B08M37764H', 'B07WY3Y7G7', 'B08LQTJ9JR', 'B07DM79BNZ', 'B09WMTB4DP',
              'B008KJEYLO', 'B08C51GF3K', 'B08ZYCPWBB', 'B088ZH6P1K', 'B09T5K7T7G', 'B09X1RVDBR', 'B0921ZY6ZH',
              'B08Q4LQF4X', 'B0725YQHJZ', 'B098XGHLP3', 'B08LR8X9S8', 'a/click?ie', 'a/click?ie', 'a/click?ie',
              'a/click?ie', 'B09NLWMXM4', 'B097TWKCHX', 'B096LX91HX', 'B0B4PR3KQK', '1633887723', 'B09WKMHKKV',
              'B08MN7XSVX', 'B08SQHYM41', 'B09NJJ9LB1', 'B09L55CZX5', 'B001KXCNIS', 'B07QF9MJFR', 'B00OZ6XKV6',
              'B08SKP3QRQ', 'B09889PJ6G', 'B072C5C1QN', 'B0B1D3F243', 'B0787K2XWZ', 'B097R332FQ', 'B07FPVR858',
              'B098K4479N', 'B09Z7TR5PX', 'B097YBTHJP', 'B08D3CGV7W', 'a/click?ie', 'a/click?ie', 'a/click?ie',
              'a/click?ie'],
    'Honda Motor': ['B004ZFGON8', 'B00BCGRIXS', 'B00AJTQW0O', 'B00AJV2WSS', 'B018WLFGZM', 'B0765W7X4V', 'B0084HCC84',
                    'B00AJTHX5W', 'B00B1GWYDI', 'B00GAIL80C', 'B00C3NYAGM', 'B0093POAZE', 'B00GG1WUAU', 'B072YXFNYP',
                    'B00B21K13C', 'B00MBVVND4', 'B007YH1ME0', 'B005GK0LEE', 'B0195UNGHE', 'B00HL34OQK', 'B00IVDA42W',
                    'B00PHVP282', 'B00GFDAB2S', 'B00GXUTMUU', 'B00U49XVVW', 'B00AJV9K2E', 'B00GIDK64I', 'B00BEV4LJK',
                    'B08YJP5HC7', 'B00B41B2BA', 'B00BH0AP2U', 'B00UY39R34', 'B00E0OODFU', 'B00UW5MG50', 'B00AJTQIWG',
                    'B00GXQ5XRK', 'B00HK1VY6Q', 'B00GIDK5YE', 'B007TJWP9Y', 'B005GK0LP8', 'B002VB85BW', 'B00GBCFH54',
                    'B008REXK3A', 'B00E0POIGS', 'B00HLUQCMC', 'B014V1N0U0', 'B008CLG8DC', 'B00AJTQN30'],
    'Nintendo': ['B01LYOCVZF', 'B07VGRJDFY', 'B092VT1JGD', 'B098RKWHHZ', 'B084Y3VVNG', 'B07VBB8S36', 'B01LZZ8UKK',
                 'B098RL6SBJ', 'slredirect', 'B079C4Q1F7', 'B01LZNGKZ8', 'B09KRK6C82', 'B01LZNGH6L', 'B01N5OKGLH',
                 'B01M0YDV8M', 'B01NAWKYZ0', 'B07V4GCFP9', 'B09SP2RMDG', 'B01N1037CV', 'B07SL6ZXBL', 'B0B1VTXWJ2',
                 'B09361NSVT', 'B07HHN42WK', 'B09K4ZLGLP', 'B09TGLFJQH', 'B07XV4NHHN', 'B097B2HQ5R', 'B07FV64QLX',
                 'B07VFTVVWX', 'B07SK4W1VJ', 'B07W4CK8KR', 'B096W29KXB', 'B09H221SH4', 'B09KRKD3P2', 'B01N5OORGV',
                 'B07KPLLP35', 'B071XNBL33', 'B07VJRZ62R', 'B08GZ3DRLW', 'B096W27VNC', 'B0914YGQSH', 'B08H9JWWK5',
                 'B07V2BBMK4', 'B098TVDYZ3', 'B01N1083WZ', 'B01N1081RO', 'B09FCXXGT5', 'B08KB652Q2', 'B09S79RJN2',
                 'B01IFJEWTM', 'B01MUA0D2A', 'B0B52KPRL3', 'B07GWYYHPQ', 'B072BZ66JL', 'B07YZQSC5Y', 'B09JSSR8L5',
                 'B08HP4ZGKP', 'B08KZ7W5BD', 'B08Z11QHBG', 'B09TGCRBSX', 'B097BP1ZZ2', 'B08HJXRB1K', 'B08HF8KKT6',
                 'B08TC8FYP5', 'B07VJLWC6B', 'B09RMMBZBR', 'B01MY7GHKJ', 'B01IFJBQ1E', 'B07QBQ8XFZ', 'B09WJY877B',
                 'B07SKJ4WJT', 'B07DMFDC6W', 'B079MW1VVM', 'B07MC8XD9C', 'B0931NN4PR', 'B08H9M7LDY', 'B097B1ZJ5T',
                 'B09CZTD754', 'B07KY69YFM', 'B01N9QVIRV', 'B08X2K5GZ2', 'B075QKXTB3', 'B08WW82716', 'B079T6CHPV',
                 'B08X2L4X8P', 'B09T1D8JJ5', 'B08X2K6B1Z', 'B07DJY81FP', 'B07NSSHPFN', 'B08WWC6GBX', 'B0B52MCV2K',
                 'B07V48QWQL', 'B076TK4M96', 'B097BP5DLQ', 'B06ZZ6FGGL', 'B06VVQGHHN', 'B075NFTX36', 'B08FCXFHV3',
                 'B01MY7GL3O', 'B08G5VWNS8', 'B06Y5VQMKK', 'B08G5W116X', 'B097BNVJRR', 'B08Y74H4PB', 'B06WLLHXC9',
                 'B01NBTWOVC', 'B07SG15148', 'B08WWC1ZPV', 'B08X2HNT4D', 'B07BHGDR4L', 'B081XLDNJ6', 'B01N2BH02P',
                 'B01MS6MO77'],
    'Jabil': ['B004576REC', 'B00457149K', 'ic/player/', '1932022694', 'ic/player/', 'B002FSI0NY', '8895731883',
              '967076470X', '0597249520', '0597070695', 'B07P8VHKY8', 'B00B8722DM', 'B07X9VG6ZJ', 'B09CL7HW1R',
              'B099TJGJ91', 'B08PJ7JMQM', 'ic/player/', 'B09MVGQRDD', '069265674X', 'B079FV6PRH', 'ic/player/',
              'B00261ZYB6', 'ic/player/', 'B08XNHCQCG', 'B08X4YMTPM', 'ic/player/', 'B00NU9MJYS', 'B07Q8YSRZ7',
              'B01MSYQWNY', 'B00GY34GUM', 'B07P4DQDHJ', 'B0789XGHML', 'B089TX3BPY', 'B084CWCJTW', 'B08MSLXG22',
              'B01F24RHF4', 'B088NDGYPX', 'B085XVHKBQ', 'B09X89QQ6F', 'B074ZGHFRM', '9670468906', 'B078KPY4VW',
              'B0124PRYOI', 'B001TSLWL8', 'B09MFNDGVL', 'B003V1WSPA', 'B07R7DT3JV', 'B08K3PQ7YX', 'B09P355ZK5',
              'B01MXDMW9Y', 'B00B86V6U8', 'B00B86TYOS', 'B00B86QJP0', 'B082Y214W3', 'B086C14ZPY', 'B00IOVOCFQ',
              'B085NWS77X', '9670468876', 'B09SRFL49Z', 'B08NLCW9WY', 'B09B468VKX', 'B07QK25652', 'B086HKN7SS',
              'B07RG8GW2R', 'B08M8PGWPS', 'B08FXLL6CB', '9670468620', '9670468388', 'B07BHF993Q', 'B085J23QT6',
              'B08LQPGQK2', 'B0736PHBNL', '9670474582', 'B086P9HYCS', 'B07Y2LYV34', 'B08T1CNK2N', '1138438472',
              'B084KXX2JF', '9675311568', 'B09DK2RQL1', 'B07LCTFL2K', 'B005HO0AR2', 'B00TK6YUVU', 'B0194VYPQ0',
              'B00I69SEK0'],
    'PepsiCo': ['B00HC767P6', 'B01071RQ2G', 'B08M2Z7JGL', 'B000P4JGII', 'B08M321392', 'B08M2SVFG5', 'B078HQCZ7Y',
                'B08M2PRZT4', 'B01HPJIIKW', 'B08LPTSNW9', 'B01EAG3VZA', 'B0747LBL9X', 'slredirect', 'slredirect',
                'slredirect', 'slredirect', 'B07BYYQD2B', 'B08QQ53TZ8', 'B08VG1FLK1', 'B001E14118', 'B083L51ZK4',
                'B08776N31R', 'B073H5QKPQ', 'B08BN9YYCB', 'B08W4NZTJG', 'B01M26MLTN', 'B07TT8B1JJ', 'B08LL9XFZJ',
                'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B076T5K3JQ', 'B076H2J9TZ', 'B003QB16L2',
                'B000Q5K1KI', 'B07G348HYQ', 'B0028AWUDA', 'B078HRD4VB', 'B08M2XKTPT', 'B00IAE91AI', 'B00I9VAN90',
                'B08L6HGS89', 'B08M2XKF7F', 'B07JHSH7QK', 'B003MXRLC2', 'B07MQNF2LL', 'B0757Y9V47', 'B08NBFGX83',
                'B00CF5E798', 'B07G348HYR', 'B085BBS7F9', 'B077PBVG47', 'B08L6HHP5B', 'B09CG6F3P5', 'B09HN852LR',
                'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                'slredirect', 'B004IUPG4S', 'B08B115651', 'B005VGV5OI', 'B002U58PRI', 'B077QKJRRR', 'B0040HLP12',
                'B01GCT2F00', 'B000RPW05G', 'B07ND7DV1P', 'B002DUD6QU', 'B08M2W33GC', 'B0846WMKZL', 'slredirect',
                'slredirect', 'slredirect', 'slredirect', 'B083TBK9HY', 'B08CZ4TJGF', 'B08M2R8JRK', 'B08R25Z9MF',
                'B0024NXUVM', 'B00C37S5ZA', 'B08R6VJG1W', 'B08M32384T', 'B09DRLD79T', 'B084WPYLML', 'B071HSMWD7',
                'B00HZYD35S', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B09NZ9F7WN', 'B01HRZQU9U',
                'B01GXPRX46', 'B09NRYV414', 'B08MMBNKZJ', 'B06XZXSKG8', 'B09WPNW2HR', 'B001EQ5SFG', 'B000JLWXTG',
                'B09WPLZVBR', 'B09P5FCVXX', 'B078WFDR7Z', 'B008ZX3BSM', 'B09QNYXH2X', 'B099GKWNJN', 'B09H3PKGS8',
                'B016BHYFK6', 'B078HQFFHV', 'B095FNTWJT', 'B00K88XPTC', 'B004HMBJ34', 'B09WPFCLLZ', 'B0B2CVDR8B',
                'B00ODVQ8U8'],
    'Panasonic': ['slredirect', 'B00JWP8F3I', 'B08WTJTGG5', 'B07W7XK55Q', 'B01NA6YB07', 'B0009DT39C', 'B00H7OSHHA',
                  'B0018A32XS', 'B00HD1ERF8', 'B001J6O0JG', 'B08RK2DZ5P', 'B00GR4SSIY', 'B08287TDRJ', 'slredirect',
                  'B0049LUI9O', 'B001159UMM', 'B075LQYFNB', 'B003BT007K', 'B00005JS5C', 'B0B1RVNZ9V', 'B000BF1396',
                  'B002N5MHL0', 'B008K992HU', 'B0B1RY3YHW', 'B0B33685G3', 'B07TXDYD4L', 'B00E59PO8K', 'B01GTMIARW',
                  'B08WTG6RCJ', 'B07R7DY7XG', 'B000WMQM8A', 'B001J6O0HI', 'B07BB2FVCJ', 'B00GTG7LVA', 'B00KNCXFR0',
                  'B004UIT4NW', 'B005DKKBU6', 'B001CS6BIY', 'B06XTP8MN2', 'B001DNE3KQ', 'B00DYWNN3M', 'B00005JS5G',
                  'B07QXHZ4YF', 'B0041T2ZNQ', 'B08J475HXL', 'B095QJW5ZL', 'B004STXLL4', 'B005IUR8FC', 'B001CS8BJ6',
                  'B0794LJFXZ', 'slredirect', 'B0015KZM1G', 'B00JL2MYSE', 'B07DFRSJJ2', 'B005IUR9CE', 'B005HMOEEE',
                  'B07GH7Z7XB', 'B00G93HMI0', 'B001J6O0KA', 'B00FYWWJ5S', 'B008R5LW5W', 'B000GBAMH4', 'B009XRA3XA',
                  'B0041R9NMO', 'B00TO54PLC', 'B0017THH2M', 'B001K80B2S', 'B015F4NZ1G', 'B00I4638B0', 'B00006WNQ8',
                  'B005IUR8RU', 'B00PF70QYI', 'B009ZWK2BG', 'B01M24BKOZ', 'B008D22LRC', 'B00CXUEM72', 'B006BXUZZA',
                  'B01M7P9QTL', 'B01G8JR3TM', 'B079PWZG2R', 'B07NQKSK64', 'B075MKFJHV', 'B00KI0VWXG', 'B003WVLH7Y',
                  'B00NIO9WBS', 'B07NQ16WCX', 'B009QX7TTC', 'B06XWTF8G3', 'B09QPRKWJ9', 'B099MQGZMJ', 'B01MCTL7ES',
                  'B011XMVC0U', 'B005JRZJGY', 'B000F4USF8', 'B07XM8ZH7J', 'B079PSZRTM', 'B00A35MAFU', 'B01CEK4NHE',
                  'B0185LYPB0', 'B0742FLZTD', 'B00380XNZS', 'B00YJJC7SQ', 'B001J6O0VO', 'B000F4SSW8', 'B000FOU0VA',
                  'B000PJ7ZGS', 'B000VKV29M', 'B001NGBMWK', 'B01MCTL7ES', 'B07WWG8C4Z', 'B00IJ46M88', 'B09HTZHXY5',
                  'B084KRD992', 'B00B3YRCOY', 'B08YXX72NH', 'B00EUFL01O', 'B079PWZG2R', 'B00QZXAV32', 'B0043DLMC0',
                  'B001CS8BJQ', 'B079M8D8Y9', 'B00380XP56', 'B00BVW2M7U', 'B00GSSQG42', 'B003BX1GVU', 'B0742GTBN5',
                  'B0861FWQ8Q', 'B09HH5146T', 'B01L0MWKP4', 'B01G5BIGUS', 'B007UZEBRG', 'B084KTSWBW', 'B00JFSPRIS',
                  'B00NX4SHP0', 'B001J6O0Z0', 'B09W5N348K', 'B07WVBM8ZH', 'B06WW9BG73', 'B00AJYXHRK', 'B08ZNJ95GL',
                  'B00HFMUUVU', 'B07WS6XZ7W', 'B00BLXFRS0', 'B075LR629G', 'B09HG8RB88', 'B00IJ46Q4I', 'B0007PYU72'],
    'Siemens': ['B013WINMK6', 'B000H5T2XE', 'B08SJJ8VF2', 'B00002N5HH', 'B08Y5D8N71', 'B01HQGLX06', 'B0052MG5K0',
                'B00LN74OO2', 'B00J59DYDM', 'B00004WZ4G', 'B00D3Q912G', 'B0052ME69W', 'B00002N5HJ', 'B00J8BVJ9I',
                'B00002NB0L', 'B00LN74SX4', 'B0052MCPF4', 'B0052MDN2S', 'B0052MCSKG', 'B06Y6K1KWG', 'B00J59DYMS',
                'B000VYJQH8', 'B00A2V16C8', 'B00002N7KW', 'B08Y172GTW', 'B007ZZGS9A', 'B002YE7V7K', 'B000VYJPLK',
                'B01HQGLV5S', 'B01H04XG6S', 'B01D4UHYTW', 'B01N0T5XK9', 'B00A2BJR56', 'B0044UTTPE', 'B004Q01YUK',
                'B005GLCCM2', 'B0052ME2BO', 'B000VYOT9S', 'B003AYN0GO', 'B08Y5NN59L', 'B008KNO7VC', 'B01H04XXQQ',
                'B0052MCY14', 'B00002N7KX', 'B00TEADUHW', 'B092YSTMW9', 'B001S2TG2C', 'B000WUPLKW', 'B00P01Z3II',
                'B074XFG446', 'B00A2BJPRQ', 'B0052MD3EG', 'B01HQGLVT4', 'B0052MBQPY', 'B0052MDA0I', 'B005XH5UQE',
                'B079T2BHRV', 'B005XH4RS6', 'B07Q1K4WQ5', 'B0052MD8AK', 'B00002N5HK', 'B000BPD9B6', 'B0052MAMHC',
                'B005XHB22U', 'B00PR67FDC', 'B00002N7KK', 'B007IB9BGI', 'B003AOEMQQ', 'B0052MD13E', 'B00002N7KT',
                'B005XH8W1E', 'B0052ME4BC', 'B0052MCJIM', 'B003ASOFFA', 'B005XH8DWC', 'B000T8MUX8', 'B000SL009W',
                'B005XH75BM', 'B000BPG0B2', 'B000LF5SWY', 'B092ZF74WR', 'B003AYDU14', 'B003AYDSWU', 'B003AYBO94',
                'B000VIWTE6', 'B00004WZ4J', 'B06XRJD9HP', 'B008P8W71Y', 'B005XH6HZC', 'B007ZZGSD6', 'B002FYECFI',
                'B004Q021WU', 'B003ASOKHI', 'B005XHCUUS', 'B073VYFF9B', 'B00MFVI92S', 'B005XH5KNW', 'B00UCDBHSY',
                'B0052MBAWI', 'B000NCV07C', 'B004Q0E8YY', 'B000VYOW5E', 'B00PR677D0', 'B0052MAAAG', 'B005D6DHQK',
                'B002YE7V5M', 'B00D3Q9HFW', 'B07PPX5K7C', 'B000NCYVSC', 'B005GLCNG2', 'B000VYOV7I', 'B00002N7KY',
                'B00002N7KR', 'B0052MEDUO', 'B00P4TLQBY', 'B01MRYMTEH', 'B004Q01XSS', 'B07WWGKRHL', 'B0052MC77K',
                'B06XRGN6P4'],
    'Starbucks': ['B009GDBNF8', 'B00438XVGU', 'B07B48MWZJ', 'B07NPMFSCC', 'B00U3ODVX6', 'B07B47J4ZR', 'B0088JM82S',
                  'B01EYCI6W8', 'B084RLCL34', 'B01GHCH8FE', 'B00G01O8D8', 'B07LFQ8TW3', 'slredirect', 'slredirect',
                  'B0029K32YU', 'B00BBQ29GK', 'B08YQG1QB6', 'B00BJ9USJ4', 'B078KRDKRW', 'B07LFSNK9M', 'B00BJ9UJ7U',
                  'B0788BR84L', 'B09VKBFD6S', 'B01FKO7904', 'B07ZLDMLZ2', 'B09QHFBW6Q', 'B008HXG6M8', 'B07DFBGFLT',
                  'B00AX1VZIW', 'B00EBU7Z9O', 'B08Y2VL7V8', 'B01H74NHRY', 'B08W7S49ZG', 'B09VZL7BV5', 'B00I2DTWXI',
                  'B0B193Y337', 'B004LL5O46', 'B09QHFSD2V', 'B08KFP3VYX', 'B00VWHNPUC', 'B077HFSG76', 'B01GHCH8NQ',
                  'B001719KMA', 'B008IIIU5I', 'B008Z5L3EE', 'B08VYQ483H', 'B0749MC31C', 'B07YQNHLL5', 'B09WL5JM3X',
                  'B00FDODUV4', 'B007JKN0R4', 'B01J9WJ69U', 'B097CNHLYS', 'B08YPCWGWM', 'B088XVCYKB', 'B00LU2XKKE',
                  'B00F131GD6', 'B07GM48PTJ', 'B078KT95RL', 'B01IVPRGGQ', 'B08B1B57YP', 'B08436WMS3', 'B00723MKY2',
                  'B01EYCI1BO', 'B06XKN4T27', 'B08KFQKNK3', 'B07WV5XDP8', 'B08ZX1VQVX', 'B08ZV9VB14', 'B07GLB4R1F',
                  'B006G1C6K4', 'B000WH5VAK', 'B007UTW1CY', 'B09PHYN5CV', 'B07P75NKNJ', 'B09GWDPCFZ', 'B0714LQ332',
                  'B01MZGHU39', 'B00C1L5BDW', 'B01IVPRGRU', 'B01B4S1ZC8', 'B08ZWDNMSZ', 'B0010YWJYK', 'B08YQVMJDT',
                  'B07VDL2KJ3', 'B00HJ7L7L8', 'B01LTI962O', 'B000RUNSMU', 'B00ATWM0C0', 'B01JPDZT30', 'B075R5BF6M',
                  'B00451UT7Y', 'B00GGUNOZ6', 'B07LG14KPD', 'B08ZNWL1M4', 'B0B18ZGPVC', 'B0788CC14V', 'B0077T5RL4',
                  'B0B18ZGPVC', 'B0788CC14V', 'B0077T5RL4', 'B074QR7KLV', 'B00QHWO2J0', 'B09T94YQY7', 'B09D26X1C3',
                  'B006EP7LL6', 'B09B2QZ6H6', 'B089LTZ2Y1', 'B08ZVS8L3V', 'B00ILOYD96', 'B017Y1COWE', 'B07QHZ2Z6M',
                  'B097CN83NZ', 'B01M9E8L73', 'B09TX441JL', 'B09MWP45ZH', 'B07N253J5L', 'B09PFMY355', 'B09C12T4JY',
                  'B08Z89WXRW', 'B00M6Z8S3S', 'B08DTKF131'],
    'Coca-Cola': ['slredirect', 'B00FA7IRDK', 'B01CO3WLLQ', 'B01CP6ROH8', 'B01H1UXEPO', 'B00BTL386C', 'B09ZXZV47L',
                  'B001SAWZOK', 'B09F2CT5NH', 'B07NDNHXNM', 'B01BGY9GOE', 'B07T1MKP41', 'B004NKP292', 'slredirect',
                  'slredirect', 'slredirect', 'slredirect', 'B014I5K8H2', 'B07D58H72L', 'B07JMKK5H1', 'B07SPGPV5T',
                  'B01L74V0KQ', 'B08CQ21NFW', 'B0012QO8AY', 'B00032EGE6', 'B000T9WLTK', 'B088NSBNTM', 'B007XNW1ZO',
                  'B01LFXDU66', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B00XTS39EE', 'B08SMQCNGX',
                  'B0012ZYZ5I', 'B01DOFYSHS', 'B000UHDF28', 'B00E22UKVG', 'B08NR2KFDB', 'B01NAZMVFS', 'B0024NMYSM',
                  'B000T9SZIG', 'B06XPYW71X', 'B0815P3SHN', 'B08CD29MGK', 'B08NX7H6L1', 'B01C2JF1WS', 'B000R9COOY',
                  'B00Y9USTNC', 'B08LGJ1Q6X', 'B07DP98L1X', 'B002U5A7U6', 'B094GCX8JQ', 'B000NG90NE', 'B003QB16L2',
                  'B08MV6B94B', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                  'slredirect', 'B004OPD4H8', 'B07FL7TQJF', 'B0B7VVMX2K', 'B07YQC1SN6', 'B00TWN8UHG', 'B002KEJYGA',
                  'B09TWZQKQ5', 'B09JFDR5WR', 'B09ZHKRWSH', 'B01BF134SM', 'B09H9GFZJD', 'B002P3RCEC', 'slredirect',
                  'slredirect', 'slredirect', 'slredirect', 'B084BKHJRH', 'B00KJCPJ6O', 'B07FQTK6MN', 'B00Z87A4VK',
                  'B00AQ5ICHM', 'B08QGJ6V84', 'B09CZFSJQY', 'B07Z8BP8BR', 'B07BKT34MM', 'B09PWVGMHL', 'B07CJWVBZT',
                  'B00MF28YBI', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B01M8NWOW2', 'B09TZHKM19',
                  'B001CB9XI6', 'B08QGDLH27', 'B07SGGWG8B', 'B095MCWH9G', 'B07D572W5S', 'B074SYP5WK', 'B073BYD9R9',
                  'B071L1HSR4', 'B0779PVJCN', 'B07BYYQD2B', 'B09F2VRZDJ', 'B00HX1GWIS', 'B07GZ91VQ2', 'B0B2SW2XC7',
                  'B089YV61D3', 'B01EJRKXWE', 'B000TDD5OG', 'B00JIWX24W', 'B003L23GB4', 'B002SAO2YU', 'B01L74O5M6',
                  'B08FQNJNTY'],
    #  .............
    'Intel Corp': ['B0077CS9UM', 'B01D3ZE2EI', 'B007YXN9MC', 'B01740QQHE', 'B01GUAJQ08', 'B01D3ZDWG2', 'B0041YQVTU',
                   'B079FVMXTF', 'slredirect', '1555122442', 'B00NEIF65Y', 'B00NG0T3NG', 'B00BGTTQOK', 'B00VQQ741A',
                   'B00C49QC20', 'B01A3N74YS', 'B076PMBMFP', 'slredirect', 'slredirect', '1737287617', '1555120105',
                   'B09FXNVDBJ', 'B09FXDLX95', 'B08X6PPTTH', 'B09FX4D72T', 'B09FXKHN7M', 'B09FXFJW2F', '0976483246',
                   'B09FWYK5M9', 'B086MN2XYL', 'B08LKJPR5X', 'B08X6JPK4K', 'B08X67YZBL', 'B08X6NXNX7', 'B086MHSTVD',
                   'slredirect', 'slredirect', 'B08X6SZ184', 'B00NJ3ZC26', 'B005ATA16Y', 'B003A7LKOU', 'B00ESFF2JC',
                   'B086MHSTWN', 'B08X6ND3WP', 'B07L5Q7K8N', 'B00006HX1V', 'B084ZCGBYD', 'B07BKZTW72', 'B07GBGHH39',
                   'B086MN38Q2', 'B06XQ4KP9J', 'B092ZGRHB5', 'B07GCL6BR4', 'slredirect', 'B073XD6Z7B', 'B086MMRW87',
                   'B079FZXFXQ', 'B086MHSH2C', 'B08X6KQSZ1', 'B086ML4XSB', 'B07DRNHWKS', 'B08DHQMJ3H', 'B07MGBZWDZ',
                   'B01MZA1AB2', 'B005ATA16E', 'B07H1RYNS8', 'B076BMW9L5', 'B07GBGN7NH', 'B086MHSH2Z', 'B091TXJN41',
                   'B086MMS6FV', 'B004FA8NS2', 'B08DHRG2X9', 'B075PYZTXG', 'B07YP69HTM', 'B001CXWWBE', 'B086ML4XSD',
                   'B079QH5KW1', 'B07MGZ9FJZ', 'B001CY0P7G', 'B00030DEQE', 'B086MG1C7D', 'B07RXW4Y2K', 'B083W17T3T',
                   'B003COH8QK', 'B0782Q4CV9', 'B07HHLX1R8', 'B07HHN6KBZ', 'B009X6DX6A', 'B07PBX9636', 'B07V3SWL51',
                   'B004O3DFEM', 'B09KWZDXX8', 'B089J731BX', 'B07KC6V4YF', 'B07MRCGQQ4', 'B07GJP6DFQ', 'B00BGTTIUC',
                   'B07693DNXK', 'B004NSG1AI', 'B08X6QHYDL', 'B07S6CRLVD'],
    'Apple': ['B09328WZPR', 'B09JQK9DK5', 'B08F3C99KN', 'B0933D3SN6', 'B09V3HN1KC', 'B09G9CJM1Z', 'B0932QJ2JZ',
              'B0B3C493HH', 'B0932BKSLP', 'B09BRD98T4', 'B09HF7W3N6', 'B09G9DT2KW', 'B0933BY6P4', 'B09BRG3MZ2',
              'B09BRDXB7N', 'B0B3C8XMXM', 'a/click?ie', 'a/click?ie', 'B08N5KWB9H', 'B09QNCZB7D', 'B09L5N48MT',
              'B01LXJFMGF', 'B09KZWZX9D', 'B099BWY7WT', 'B09V484P17', 'B08L5M9BTJ', 'B08Y8LG8HD', 'B07K1WWBJK',
              'B09G9KZV1Q', 'B07CPS16L4', 'B09FT3RT2Y', 'B07WF96FY5', 'B016NY7784', 'B08L5NP6NG', 'a/click?ie',
              'a/click?ie', 'B0933BVK6T', 'B07KT9KCSH', 'B07FYG33SB', 'B0B21K1N4J', 'B08KGVJQC8', 'B0B3LRS558',
              'B06X16Z7DZ', 'B075NFX24N', 'B09ZP1H6SD', 'B07K3HG6T9', 'B0863F5KCT', 'B08J5W4WXX', 'B09KNCDSWN',
              'B009WHV3BM', 'B08RBJX7G9', 'B09TNKY6HP', 'a/click?ie', 'a/click?ie', 'B09YHN4GZF', 'B09BBPLMJL',
              'B0932NW1FH', 'B0B886FGBZ', 'B09VBN1JQV', 'B09WK8FG6F', 'B093R46STH', 'B08J5RBMRN', 'B01DRV2AS8',
              'B0B62F1NXQ', 'B0B7B1Y6BQ', 'B09PFXSRC2', 'B09W44LFMQ', 'B09KWYVD6G', 'B09SCW3JG9', 'B0B7WRTQ46',
              'a/click?ie', 'a/click?ie', 'B09XTLVZ6T', 'B017K17PQ8', 'B0799SJ1XX', 'B082KVR7YX', 'B075NCMLYL',
              'B09JP22MLJ', 'B07K387Y7K', 'B0B5P15BL6', 'B0B214CQ81', 'B08GJMDT9V', 'B08M9QP76B', 'B09ZP666HT',
              'B09V7NVMNX', 'B0B4ZBGPPL', 'B09CLC9WFD', 'B08Z7R8FKW', 'a/click?ie', 'a/click?ie', 'B09YV4J8WY',
              'B099J4QCCP', 'B09WLDTWZQ', 'B096RYVXZ5', 'B0963WF6C8', 'B099N6V2H8', 'B083S8418Z', 'B017S25FMA',
              'B097QM3CHG', 'B0B4SB6MMG', 'B0B27PKRJ1', 'B0B1J9KRS9', 'B0B7WTZNDZ', 'B09PG97WTL', 'B01M3XJUAD',
              'B0B1QPRYQM'],
    'Dell Technologies': ['slredirect', 'slredirect', 'B08YYMCK6V', 'B08B9XH6SQ', 'B01M1OWQFU', 'B094Z1F1RY',
                          'B0916F5DTM', 'B01FAKC0X4', 'B01G8NSRV6', 'B00B1QKF20', 'slredirect', 'B091RGGRVT',
                          'B08B9XNWV9', 'B09J7X5YK1', 'B0B3YBG5TK', 'slredirect', 'B096FX6ZH3', 'B09GXGZD51',
                          'B09126B8HZ', 'B09WCQ91PB', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                          'B0B7BBWPVH', 'B09MJP88RH', 'B09MJMWPNN', 'B09BZ34KV6', 'B09TVZHV4W', 'B09JQZ3HVB',
                          'B094YZ24KG', 'B09PSM4GRZ', 'slredirect', 'slredirect', 'B08ZJP88D2', 'B08HQZXVH8',
                          'B0B77NQCPG', 'B08W2CJBC9', 'B08VX2CC91', 'B09BC2PWFL', 'B09GXGK45B', 'B096MWCGPW',
                          'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B09MJN99T6', 'B081Y4NBQH',
                          'B09MJQLS5J', 'B0B59NK5FJ', 'B06WWRL5C2', 'B09ZQ7Q5GK', 'B004A574C8', 'B095XM49ZN',
                          'slredirect', 'slredirect', 'B095XL24H6', 'B09J7RJNDQ', 'B08XGH5Y8Q', 'B09MJMPMZ3',
                          'B09TD9XZT3', 'B09MJNZZY5', 'B08B9YHHTS', 'B09GXGVZ31', 'slredirect', 'slredirect',
                          'slredirect', 'slredirect', 'B00N3IN60W', 'B004SRPS9Y', 'B09BBZHJ7R', 'B09MJNG8DZ',
                          'B00FFCPTK4', 'B08WNWS3HS', 'B094GDPZXD', 'B08WCP55H1', 'slredirect', 'slredirect',
                          'B08PHP8PS6', 'B094GCJK7V', 'B09BC5ZPWW', 'B09J7W3PHZ', 'B01136RKUC', 'B098BS3VJB',
                          'B07GBY2M8V', 'B0179JW05C', 'slredirect', 'irect/pica', 'slredirect', 'slredirect',
                          'B09HBCZQJ6', 'B00YDG83LK', 'B08FKX9K6P', 'B0B1961GSS', 'B08B9XWSR2', 'B07F5LG7KW',
                          'B09BC2PC6V', 'B09MJPX738', 'slredirect', 'slredirect', 'B09GXJS5BR', 'B00AH90N2E',
                          'B09ZTR6XG1', 'B09BC483PC', 'B09BLDQNCQ', 'B011M2S64Q', 'B09BZ499YP', 'B09MJQM4Z8',
                          'slredirect', 'slredirect'],
    'HP': ['slredirect', 'slredirect', 'B09FXFDGN3', 'B06ZY9LP74', 'B01LZW2L1P', 'B084131T6G', 'B01BYKUI9C',
           'B08412TYML', 'B08BF4CZSV', 'B00WR23X5I', 'B08KGZ79N6', 'slredirect', 'B01BYKV7I8', 'B071YHCML6',
           'B01BYKV8FK', 'B071Y72MNW', 'slredirect', 'B01B6QGJ42', 'B003H2GBM4', 'B01BYKD628', 'B01644VWZM',
           'slredirect', 'slredirect', 'B00L1G7K50', 'B0722C491T', 'B00L1G7LBI', 'B00WJDWGA8', 'B09BBLN72F',
           'B003YT6RNS', 'B00L1G7NCU', 'slredirect', 'slredirect', 'B00WR23VRI', 'B01BYKUGVM', 'B00L1G7OMO',
           'B003UATQDO', 'B07166SPDK', 'B00WJDWG3A', 'B09SPFBH2H', 'B00WR23WE0', 'B005BZNEMK', 'B07N3FH92G',
           'B01HCP9K10', 'B006M1MHSO', 'slredirect', 'slredirect', 'B08QR6P8KV', 'B01BYKB774', 'B08QMQNR76',
           'B0843HK6F4', 'B01B6QGJHE', 'B01BYKULVM', 'B08SMR94HT', 'B004LQZTKK', 'B09SZPSTN1', 'B08WCDLKFK',
           'B01MFDG7GB', 'B084SKWC89', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B07R3GXL4S',
           'B01B6QGO1A', 'B0016P14O4', 'B004FKEJ5I', 'B000O9UUWA', 'B01MQ2GI8J', 'B093KTJ7FH', 'B09ZYWNQ9N',
           'B003H2AZJE', 'B07N3F9SSZ', 'B07N3FHVQD', 'B01BYKDBCS', 'slredirect', 'B07N3G1PYM', 'B0949KL83T',
           'B07RQB5XSR', 'B005BZNE2K', 'B0843J71SG', 'B0843HQX6R', 'B0B1QQB66N', 'B000OAK94I', 'B07Z1GPV7S',
           'B09FX1YF28', 'B01LBWEL1E', 'B00L1G89GO', 'slredirect', 'B0722YWCZ3', 'B01M1SPL20', 'B01BYKDRXQ',
           'B07R3XX136', 'B09TMJB229', 'B0843HV9V1', 'B07RPCQX25', 'B08PVYS2YV', 'B01BYKDY16', 'B06XSL57YV',
           'B01M5H0U05', 'B0016P8Q22', 'B07XLXZ49D', 'B003BFU4TI', 'B006FUXAGU', 'B00191TTGA', 'B003UATQDY',
           'B07R5W5H4L', 'B07M8DV7QY', 'B08ZK18TWF', 'B09T2L5PBN', 'B08XYRVSRT', 'B004ZOT5KS', 'B00CNNP5KC'],
    'Adidas': ['slredirect', 'B0716XFVDQ', 'B08ML84R18', 'HRNXB/ref=', 'slredirect', 'slredirect', 'slredirect',
               'slredirect', 'B000M28FH6', 'B071GWCZCQ', 'B0812KLZC8', 'B08RK1K6WM', 'B087RVDTSB', 'B07DBHWSJR',
               'B087KN3QW7', 'B091N3SJB6', 'B0714BNRWF', 'B07HRS87G1', 'B0B57P7S37', 'B098RH6TQK', 'B08JMF9D2W',
               'B087R4S1X7', 'B087BQ5RCM', 'B08ML3W8C6', 'B07TSFMQZ5', 'B09FRFZDWL', 'B091MM6ZQ6', 'B091MLW3QX',
               'B004J8HL24', 'irect/pica', 'slredirect', 'slredirect', 'slredirect', 'B096H8J52K', 'B098RHPKW5',
               'B000CER6SI', 'B07YPB5RH8', 'B091MJ2W2S', 'B07SCGT4TV', 'B09G9BBGQF', 'B087F6GY2W', 'B091M88FCP',
               'B091M8N77F', 'B09WY17426', 'B087CF8MC6', 'B087F43ZHF', 'B08LF1HMLZ', 'B01HH93GEI', 'B091ZDHFMM',
               'B091M6KGBZ', 'B093RT9HG9', 'B091MC42YG', 'B07ZSC2TD2', 'B08MJP69FP', 'B091W2X9DN', 'B087D8T94P',
               'B08925DSWS', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
               'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
               'B093RT9HG9', 'B091ZDHFMM', 'B091M6KGBZ', 'B091V68SVY', 'B08MH6LLTM', 'B08NXX72XG', 'B08MJP69FP',
               'B07TVKLJGP', 'B091MLS21W', 'B08LQRJMMW', 'B08925DSWS', 'B08791ZH88', 'B089471W9N', 'B08MSXGH3N',
               'B09G955LNR', 'B08778PC1V', 'B09DZYCRQQ', 'B08ML5RCTD', 'B07CNV7BHG', 'B09F4KW7DG', 'B08JX82Q5M',
               'B08JMH9RPH', 'B09G8VL2WV', 'B08THLTQY3', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
               'B091M8XQ1X', 'B08M81BY33', 'B08JXD4CG1', 'B08JMFGZK2', 'B07TLZYHB7', 'B09NCJRJKT', 'B09649BZL8',
               'B08JWSTZBZ', 'B01GZTM4BM', 'B09G95D923', 'B07LD9HGWH', 'B0185FE0ZW', 'B09KMGPHYJ', 'B087D8GPHZ',
               'B0886GW92H', 'B09MDQYSRH', 'B09G8GZ27Q', 'B087D7V42B', 'B07ZSCB1ZB', 'B095VVSKF5', 'B087RSSDNT',
               'B091ZFNFRB', 'B08L44LZ22', 'B091JH3L66', 'slredirect', 'slredirect', 'slredirect', 'slredirect'],
    'Nvidia': ['B07YP9FBMM', 'B08HBQWBHH', 'B07YP94PBJ', 'B0968PSVPH', 'B09WGRQP4B', 'B07JG1YBKY', 'B07VPVBLYP',
               'B09BDH8VZV', 'slredirect', 'B096M7P5R6', 'B00NGLLR8O', 'B096L83WV8', 'B08PW559LL', 'slredirect',
               'B097PZT7J3', 'B08HR6ZBYJ', 'B09X4JVZB5', 'B06X9Q9XW3', 'slredirect', 'slredirect', 'slredirect',
               'slredirect', 'slredirect', 'B00BNHKO50', 'B097DTK1F6', 'B09R2NWCV1', 'B08W8DGK3X', 'B096W957CP',
               'B0992Q6BK1', 'B09HHLX543', 'B0881YZJ45', 'slredirect', 'slredirect', 'B0971ZJBQY', 'B07Z8PWC6R',
               'B01M360WG6', 'B091PVFYXM', 'B096YQ6WVW', 'B01MA62JSZ', 'B09GLCGV9K', 'B01M4KGTNI', 'slredirect',
               'slredirect', 'slredirect', 'slredirect', 'B09WH4XGDM', 'B09N8LPP19', 'B09QXZC4PM', 'B01MYV94H3',
               'B096YPLGHG', 'B0971XRQR4', 'B013HRQ1GO', 'B077V4L34S', 'slredirect', 'slredirect', 'B075RXV2VR',
               'B08WPRMVWB', 'B01JBMII42', 'B07R18TH1X', 'B09KMMQW6M', 'B00F08UFU2', 'B08HJGNJ81', 'B08V1ZWGVR',
               'irect/pica', 'irect/pica'],
    'Disney': ['B071GLZP26', 'B01AB4NUEW', 'B075C6C68N', 'B0892R4NXB', 'B0B2SKV8TY', 'B07S86WX1G', 'B01LVZ4CUO',
               'B08V7PH51L', 'B0754VQ9B9', 'B01E7Y4SQ6', 'B093QMCW9V', 'B07QHFFH16', 'B091DM4DYB', 'B09NQGVFZ1',
               'B07QZZSTT8', 'B01N2ARL00', 'B07P9P55GK', 'B077XGFKQK', 'B08LNQ8YS6', 'B0821T6PRP', 'B071KWMJ1Z',
               'B072WHL35Y', 'B09WB62TL5', 'B07G3K1CT9', 'B07BWVMRSQ', 'B091D65TK8', 'B0892S7P6S', 'B07666LRZJ',
               'B093K2JRWP', 'B079T9Q71W', 'B09P43RTLB', 'B07Q4PFTC6', 'B07RTZ1LCX', 'B094DT7XL9', 'B07SNGCHJF',
               'B0892P3QTC', 'B099F7KXFR', 'B091D6CBHV', 'B0788Y1N5N', 'B007R1OJ9I', 'B0889KQWKK', 'B07JJH39XS',
               'B07N31H63K', 'B07G3J5BTT', 'B09D45D9YR', 'B093JXSDJV', 'B076H9S664', 'B09BBYH6V6', 'slredirect',
               'slredirect', 'slredirect', 'slredirect', 'B094DSTN4H', 'B09M9BVBVS', 'B091D9T433', 'B00ZO5340O',
               'B071YPB1VW', 'B07XB2X8S8', 'B085GF31VV', 'B094DRZZNV', 'B083M35KVG', 'B094492NBH', 'B091DB5SVV',
               'B091DBTCK8', 'slredirect', 'B07NQTD3RF', 'B09Q7XKFY7', 'B09V75GLB4', 'B09B4CNYWK', 'B07TCQK1S8',
               'B091D9SJ7P', 'B07GX333YZ', 'B0B177P3WN', 'B09XLRS4SL', 'B094DSD1HT', 'B09YCSVH6W', 'B017UVUDWQ',
               'B09QH9DJZ1', 'B0711HQ1DP', 'B01KW2V91Y', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
               'B09NZ38LCT', 'B08P3WS5KR', 'B091D9X829', 'B09DQ5TB49', 'B09KD6XFDX', 'B09Q5RXH1Y', 'B08K3Q7FPS',
               'B071FWLHJT', 'B09NZ3GW9Z', 'B08LQSF8MG', 'B083NY5SJF', 'B091DN96GQ', 'B07ZPBJG9T', 'B09PNX9VTG',
               'B09XLRZ7RQ', 'B07FWBSQNC', 'B09YMYYPW2', 'B09B4C3SG2', 'B094DQ6GTT', 'B084RBZJLT', 'B094DRDGPW'],
    'Samsung': ['slredirect', 'slredirect', 'B09MVZLWKJ', 'B097CN57TH', 'B09BFRV59N', 'B09Q7SLP6F', 'B08FF3HDW5',
                'B09TMJ9LGR', 'B09Q7P3QGC', 'B09GPXFZ9F', 'B096MYB899', 'B09TS2DLVN', 'B096YPN52D', 'B09MZBTMQQ',
                'B09FCXXQZP', 'B08Z2C5DMX', 'B088T2C912', 'B09Q98BRRN', 'B08N3BYNDN', 'slredirect', 'B097CNBDX2',
                'B09859RY5M', 'B09D8SGXB6', 'B08N3J7GJ8', 'slredirect', 'B09NDXB72V', 'B08623SZH9', 'B09RQ62J8V',
                'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B08FYV84JT', 'B082YG1L4B', 'B07XL4JHXR',
                'B07XL4JDQW', 'B06Y14T5YW', 'B083NJRP1L', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                'B0912V3VTZ', 'B08QFZRVKV', 'B09NQMJ5XG', 'B09W3YPMQ9', 'B096BKVWZZ', 'B08WFQFK3M', 'B08ZGVJDLZ',
                'B08ZH392XD', 'slredirect', 'irect/pica', 'B09DLCT14X', 'B08WHWBMSD', 'B08T1WZFN7', 'B08FBPRY3N',
                'B08QXW1TXX', 'B0812CZ3FB', 'B091WR26F4', 'B09S5WZXX3', 'slredirect', 'slredirect', 'slredirect',
                'slredirect', 'slredirect', 'slredirect', 'B08WFLBLWP', 'B073H4GPLQ', 'B0973CNK5B', 'B09P4FN9QY',
                'B08QBL36GF', 'B07ZQYZ82X', 'B08T1VR8QW', 'B097WD9P4K', 'slredirect', 'slredirect', 'B09J8SXVT1',
                'B086Z2XFYP', 'B09VCTQVCW', 'B08X7Z278W', 'B09X8F7RQN', 'B089B7LX7N', 'B096BKNBKR', 'B09R94XYBS',
                'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B08DL6KY3Z', 'B09P4D2XS9', 'B088Y9CJZH',
                'B07YXH57B8', 'B08ZT3557Q', 'B07BPKL2D2', 'B09VLHR4JC', 'B01IPHVFUI', 'slredirect', 'slredirect',
                'B010NZV0GE', 'B09ZH1Q6TT', 'B09DLBCQCS', 'B08VW6W267', 'B08VWPBBTF', 'B08ZGCP58Y', 'B08X6Q3254',
                'B08YFLC3JD', 'slredirect', 'irect/pica'],
    'Nokia': ['B08SV2Y7J6', 'B08Q1YWQQ9', 'B093RQCX2D', 'B09DJ2P1SF', 'B093QPTSK7', 'B09GW969LH', 'B09RQ5VLGL',
              'B09DR9DB4P', 'B09CBSS3BX', 'B09G782SXL', 'B09K2N5XTN', 'B0B4Y7DWL2', 'B09JGTR3KY', 'B09FFY753P',
              'B07Y5PZPMK', 'B08ZBG6MR2', 'B09HJLHCQ5', 'B08MWRCZL8', 'B09953BLXL', 'B08SV6KJTT', 'B0B4X7H8F7',
              'B09CGHYBMZ', 'B01H41K5SO', 'B09MJ89G5Z', 'B07XVZXR5Y', 'B08NTQ5MG3', 'B000NI46AO', 'B09BSJJZTP',
              'B09GG611Q6', 'B075FL4H89', 'B09DYXKKPL', 'B09BS7V1JJ', 'B07WK47981', 'B00HTX8XGY', 'B00005KBGR',
              'B08WRB2GF2', 'B019Y66Q7G', 'B09BFY7BZL', 'B09HLC288B', 'B001B5E6VM', 'B00TLWTJHI', 'B08JQRBWXH',
              'B000BYGNSI', 'B000PEOLAG', 'B09W8QC5SW', 'B08JRF9L15', 'B0019CZC2Y', 'B0B1JPJHYZ', 'B08PBZ8JR4',
              'B000BYBC2A', 'B09J8T7CW6', 'B07FY5Q5QM', 'B01M193Z8M', 'B002CNDY9M', 'B097TY8L8N', 'B097TYTP61',
              'B000XQOE5S', 'B000FJ1XWA', 'B09F4LLM54', 'B08541W94M', 'B002LSHZPM', 'B003V4AJSU', 'B095M9SKC7',
              'B09SZDN5H7', 'B00LBFFSNM', 'B097XQ48M2', 'B003ZX7RL4', 'B01MZIMZM8', 'B09RQYDVLV', 'B00E45043A',
              'B09B1D2ZJ3', 'B084B1XPD7', 'B08PNJL7LP', 'B004NLTWFG', 'B07PRSPD3Q', 'B088ZQ1J69', 'B00D7OOAHA',
              'B00FI8C9XK', 'B00519BEFA', 'B07X63JCWT', 'B01IDHBZNM', 'B004GI1QYQ', 'B089N3PTKQ', 'B010DQZX3Y',
              'B00H2BJ7WC', 'B087V61QD7', 'B00O15MWOM', 'B0979PBB2J', 'B00TJSF3L0', 'B00VSLL658', 'B00HTX2T2I',
              'B000KNHKTG', 'B08DP5NDZV', 'B09J22TV6F', 'B000JCSBQY', 'B07HD3QC65', 'B004NC3ZBC', 'B0979PBB2J',
              'B000JCSBQY', 'B09J22TV6F', 'B09RQY3R2X', 'B004GI1QYQ', 'B07X63JCWT', 'B087V61QD7', 'B00519BEFA',
              'B0012EPNV4', 'B000HHHM3O', 'B000A6AQFI', 'B089N3PTKQ', 'B07B4KPFKM', 'B01IDHBZNM', 'B09LMGLN3X',
              'B076BYXNZT', 'B08DP6W1HC', 'B00009XLNH', 'B07FY7HRHF', 'B085479LJ9', 'B00ULDXY54', 'B006IN9144',
              'B000S8L350'],
    'Motorola': ['B08NWD7K8H', 'B08NWBY8YJ', 'B092BYTXM3', 'B09N1XLHMV', 'B09WCNQVZS', 'B09TZ5ZBJT', 'B09MDCTMTH',
                 'B08GL2HKLT', 'B09BTB5MKT', 'B084CVPLLC', 'B09KJDLDHN', 'B08G9X6469', 'slredirect', 'slredirect',
                 'B09PPP7CKV', 'B09NL75RWW', 'B09LZ8VP16', 'B00942OFVU', 'B08B9SGGRS', 'B08NWGBHG3', 'B09NQQ19XV',
                 'B09QH5KG1Z', 'B09B4FSP2W', 'B07GNX38CB', 'B08TT839ZM', 'B09B4FPRQR', 'slredirect', 'B08NK9BRFJ',
                 'B09P1WPMG1', 'B09RG1B2D7', 'B09252SFQW', 'B09PC6JKLD', 'B09H9ZCJNR', 'B09KCMVPPZ', 'B076HKXXTG',
                 'B09YVTWWHL', 'B086H4C8CX', 'B08F2R2DBR', 'B07H112XRZ', 'B08ZJT7ZH7', 'B01DM7AEYE', 'B09H9JRX3J',
                 'B08MZ9B8Q9', 'B00000JD34', 'B09M8RHYDJ', 'B091G27FJZ', 'B07ZPGWQGJ', 'B09P1TQWW9', 'B08X4GX9K1',
                 'B09MMLPD1L', 'B07RBN2V4G', 'B09B4CQ7N3', 'B09D1CJRFY', 'B01N0ZYNV8', 'B09M57199M', 'B07THFDNB1',
                 'B09LN7D1TR', 'B08JVHV6K4', 'B09HN2ZRBS', 'B08SHTKYTN', 'B07WJJFKYW', 'B07SJHGLR3', 'B09C6CLB8W',
                 'B09V862S29', 'B095J39WV6', 'B01ETL5M30', 'B000QDYN1I', 'B09FFWFFYS', 'B00RYBUYVS', 'B01FV41DT6',
                 'B07N8TGL69', 'B09PC5KHBG', 'B073X1GF9N', 'B00JG4XLS4', 'B09S18ZF5Q', 'B09N9JNQ2M', 'B076JJ14RC',
                 'B012J1CLFE', 'B072JPLCZT', 'B0B22SCWM4', 'B07GTKJVYJ', 'B08SHZL55J', 'B01LTCNOVY', 'B00000JCTO',
                 'B00O17SLKE', 'B09G99CKRN', 'B00DMRXU64', 'B07N9MF1Q3', 'B01K0AG5OY', 'B08SHL8D43', 'B008QVQYS2',
                 'B08FXTD6PM', 'B09G95YHRB', 'B08WJHJ7F8', 'B00ITXTEE8', 'B09QH4P4Y2', 'B09FFW9MWD', 'B08SHWJ25X',
                 'B09MDBYWF7', 'B09MDBYWF7', 'B0B3M31YD3', 'B097TGQ5M2', 'B098P5VMK9', 'B01FMKTFPI', 'B0774MF5SB',
                 'B01HTXR4VS', 'B099HFZCHB', 'B002YEWLNY', 'B09HMYBLWQ', 'B09FFW9MWD', 'B01FMKIQOY', 'B08CZSCC7K',
                 'B08WQ5R6SY', 'B08CGQ58P9', 'B09Y4QL37Y', 'B099MQJHRR', 'B000QDYNEU', 'B015RUCOHE', 'B0009RKGEO',
                 'B0B7BSYP2P', 'B083G849RZ', 'B09S118HFK', 'B00GBEAMDE'],
    'Harley_Da': ['B07CVMRT2W', 'B077BG3MC7', 'B00W3V5MUW', 'B079G34WF9', 'B06X6M64YP', 'B07DWBBXVJ', 'B077BS3ZLN',
                  'B01C650N2G', 'B07CVQ3T2N', 'B07B3549TM', 'B07GH49WVY', 'B09SVJMX66', 'B09SN7MGCX', 'B01LWLDP92',
                  'B01C7ROQJ4', 'B00VSBTUVU', 'B07C8FGNBJ', 'B07HN89ML4', 'B098TSYZYN', 'B09B7V3XSV', 'B00UAZEXM6',
                  'B071HLF776', 'B07BRBD6D6', 'B099XBK4SQ', 'B07Z43SDJT', 'B09TWTFXV1', 'B09TMKC7VM', 'B00H2ZNYG8',
                  'B01CT5XHY4', 'B01MZY238J', 'B07W6JD39Z', 'B07XYHJT81', 'B07981RY92', 'B004GZ8VMY', 'B01C7RP012',
                  'B01AKCO9YK', 'B0757T7XZH', 'B00AOXRQKK', 'B08F8X81FZ', 'B00YAUZXSK', 'B08B8WZM3H', 'B076BTVLTG',
                  'B06XD37YND', 'B09TS3J8NX', 'B09TM3LNQ3', 'B08G589DHL', 'B004HXGHXU', 'B01CT5XH58', 'B07CM8V8CM',
                  'B08NFCD3JX', 'B07C8LZTRF', 'B09BNYX2KW', 'B08KGLT77P', 'B06ZZPF4TD', 'B0059IF37S', 'B07C5DGY1Z',
                  'B06ZZDS8DG', 'B01CT5XE10', 'B00HTT7FG2', 'B01CT5X4VU', 'B07DF2YNYM', 'B00YT4W7WC', 'B09TWPDM9P',
                  'B07CM8GPK2', 'B00I11T4CA', 'B07B2XN523', 'B076C47YTY', 'B09K4LF3S9', 'B07BM9LRTV', 'B00L3FK0QU',
                  'B01C7ROVZI', 'B00I11S9TE', 'B0718X9L2C', 'B00TJ1CJBO', 'B07H3DGKPB', 'B09TTTQDRG', 'B01CT5X4FQ',
                  'B00C5JTIE8', 'B00YAUZROA', 'B01MZY1A7U', 'B09VTCZM95', 'B07DF5KTZR', 'B01CT5XJBK', 'B00FF9LK9G',
                  'B09TWTLTFS', 'B00W3VFBKS', 'B00I11S4SU', 'B077BHLKN8', 'B09CZJG9PT', 'B09QTQC2R4', 'B00H91B5W0',
                  'B07K8W8Y1M', 'B01NAII5K9', 'B076BYJJSC', 'B00YAUXU6W', 'B00P81QOR4', 'B01NAII5K9', 'B076BYJJSC',
                  'B00O7VO2TI', 'B00P81QOR4', 'B01C7RPN1O', 'B08HPQSTMP', 'B06XTT1XXJ', 'B09SNPTHC8', 'B09SVHZ6VQ',
                  'B07J9LVRPG', 'B076BSYBL1', 'B01C7RPOY0', 'B076QJFQ8D', 'B01EYWG9AO', 'B07ZDM2RXC', 'B09BDCHMS9',
                  'B08HPNTHV2', 'B00H8K33BS', 'B01CT5XCHG', 'B09SVNXJF8', 'B004Y12SW4', 'B01MT9SDW1', 'B000EYOVZW',
                  'B08P8Q96XQ', 'B07J9SG89X', 'B093TK13SG', 'B09V6VV5B2', 'B003D7H1HC', 'B09TWJNDZ6', 'B09TS1WH31',
                  'B084PYB71G', 'B01CT5XDKM', 'B01N78ACWY', 'B09CZHJD47', 'B00GS6ATWY', 'B09KVHSFW1', 'B08XC24RTD',
                  'B00W3VPQ6C', 'B09K4N24V6', 'B0797ZMY2X', 'B09D1B9M6B', 'B08P8PTJQG', 'B09DLDDC2T', 'B09V6FK41N',
                  'B00H91B95I', 'B09V1M3VTX', 'B071VDF4XP', 'B00W3VDR8G'],
    'Google': ['slredirect', 'B08KRV7S22', 'B00SZDLGSO', 'B074T91QTZ', 'B08CFSZLQ4', 'B07RBNTVMV', 'B07YMNLXL3',
               'B09DV93S9K', 'B07YMNVXVV', 'B07K3X5JTP', 'B07YMFYTYY', 'B0977S8HXV', 'B00SZENV36', 'MSJZG/ref=',
               'B0131RG6VK', 'B00SZEBKTS', 'B07BH6Y6LL', 'B08HRPDYTP', 'B09HL8RZ6W', 'B077XBVG6Q', 'slredirect',
               'slredirect', 'slredirect', 'slredirect', 'B0B3PSRHHN', 'B00MOZPSYW', 'B09HYR2NC8', 'B09HLDLK54',
               'B01MDJ0HVG', 'B098CN85T3', 'B0754LGN13', 'B076HCPQ22', 'B07YMM4YC1', 'B07YMKD6SM', 'B09J6Y8Y73',
               'B00SZ9BJ0I', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B09LZ86Y2T', 'B08GGBZNZ5',
               'B00XV1RCRY', 'B08HVVNTMW', 'B00AFCEIB0', 'B00F55IOQW', 'B004L0NGEC', 'B086HSTQD3', 'B00SZEY8GU',
               'B09N4P1ZW1', 'B00SZ3O6M2', 'B00F55HNBY', 'B09MZJSK8Y', 'B087CV76PG', 'B08H8VZ6PV', '1119602440',
               'B01M7WPUFJ', 'B09DV93S9K', 'B07GNN4T2V', 'B00EJ9RIXA', 'B07YMNLXL3', 'B015UKRNGS', 'B09NSCJC9W',
               'B00FPZD7DW', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
               'slredirect', 'B09HZFK4VT', 'B01EZV35QU', 'B08H8X23ZB', 'B0B1W8WTJ2', 'B08571GX3S', 'B09JQ5VRZ9',
               'B07SG1GHHM', 'B07B8B1ZSF', 'B00BLKFB9S', 'B07JYVLCP3', 'B00N81DGKE', 'B07YMM3P8V', 'slredirect',
               'slredirect', 'slredirect', 'slredirect', '1939924456', 'B00IZKYBO8', 'B09C1D1Z41', 'B0B1P8R1BF',
               '0321803027', 'B01M66NWOQ', 'B071KS8KZ1', 'B09V8GH1XJ', 'B09BN9WBTQ', 'B0052ADMF8', 'B00XV1RD0K',
               'B09LD1T57H', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B08FX9JJ9D', 'B07XF2P9KR',
               'B09KKX8MDY', 'B09FSR7ZZP', 'B09PXV8HR7', 'B09BTGYR3N', 'B07K1P13LC', 'B07YMLHSM8', 'B09HNSQLZ8',
               'B07T771SPH', 'B09Z46LBHQ', 'B08LF4SFQ2', '159918673X', 'B01MR044H4', 'B07YMFYTYY', 'B09JYZWSRB',
               'B0B1H8D9ND', 'B079MGG7LC', 'B002LJXFRS', 'B07577C2NC', 'B08CFSZLQ4', 'B07P5GP11P', 'B07YMNVXVV',
               'B0B1JHZLNZ'],
    'Microsoft': ['B09DKHYLSH', 'B0035ERKYW', 'B014W20C90', 'B014N53JVO', 'B09DKG9JPP', 'B086Q92563', 'B08JM41WGW',
                  'B07Y42WFHQ', 'B07YNKW95N', 'B09W7X8LSL', 'B09DK21NK7', 'B08DG5RYXB', 'slredirect', 'slredirect',
                  'B094YY2F5Z', 'B00D68ZVY8', 'B005058B5Q', 'B08J8C7THG', 'B00CYX26BC', 'B004ABQAFO', 'B094YZB4BD',
                  'B09MZQ7VJK', 'B094YYY9CH', 'B07Y414QXJ', 'B005BZNEKM', 'B095DQJ3Z2', 'slredirect', 'B0B14T95L3',
                  'B00906E03I', 'B07Y3Z93WQ', 'B014W20BFA', 'B07FDQ2MGG', 'B08J8BLRZF', 'B086QRQWL1', 'B09DK2YSH2',
                  'B015HWLB2G', 'B00CYX54C0', 'B01MQ0SB7Z', 'B09F8XX4NS', 'B00BZC31WQ', 'B0B14R29Y8', 'B08J89VVSR',
                  'B08JY587T3', 'B07L2HSQJ4', 'B076KRHJ7B', 'B003PBZNF8', 'B009CP4PIW', 'B08BC92MJL', 'B086QR6Q2S',
                  'B09VRLG614', 'B014W20BAA', 'B008OEHT30', 'B0163HP38W', 'B01C9YTI9S', 'B01698T1TC', 'B004ABO7QI',
                  'B08J3N1R8C', 'B086Q7Q6GJ', 'B07Y3ZS47V', 'B09DJYD87Y', 'B086QRQVD5', 'B00DUV01SC', 'B001OAR26K',
                  'B007CJT12A', 'B09DJSF748', 'B08YWX4W7G', 'B009SPWCFY', 'B00465UNYI', 'B086GYWJSL', 'B00DUV024K',
                  'B08LF3ZQBL', 'B009H4GN42', 'B08JM45NSM', 'B085P337T4', 'B00UPKMVCU', 'B084KHVK2V', 'B0B14QGJC5',
                  'B073QKC8Q8', 'B01AZC3J3M', 'B073W4MPJF', 'B07ZF69HXV', 'B07Y41MQVF', 'B0042X8NT6', 'B00IIDD0ZS',
                  'B07FFTM5BZ', 'B0163H1HT6', 'B07JYMFFVR', 'B07YNHYQ5Z', 'B076KRFB8X', 'B086QCFRQ5', 'B000JSDOMO',
                  'B09TX4V19X', 'B015HWLCUW', 'B07RQ9G9PZ', 'B074GYX6VR', 'B07W822NB1', 'B07YNLYYNK', 'B01MG4JB12',
                  'B001OAOZ2E', 'B0B14DMTXH', 'B009LJMAOK', 'B09DK49Q6X', 'B07YNL51C9', 'B09DKCMZFK', 'B086QB61FB',
                  'B08BCFXPZS', 'B076C75X1T', 'B002DY7M7U', 'B01DL4J77I', 'B09DNV7M1B', 'B07YNJ4X2P', 'B078Z37H9T',
                  'B00DUV01RS', 'B004SUO1QM', 'B08XZNH4GG', 'B015HWLCF2', 'B07FDKZQTY', 'B01BOVBQ4C', 'B0888X62FT',
                  'B0713PLXZP', 'B004ETQHDM', 'B075G226FW', 'B08GZMXP7P'],
    'nestle': ['B013S3X1GU', 'B07HFVYCXM', 'B088G1YD2P', 'B006UI0JSO', 'B0B31CRTTW', 'B08KWK8XKR', 'B005CD4196',
               'B074F11XH8', 'B000SRJLSW', 'B0014CXSX4', 'B08F4LYMZ4', 'B07TV8VZWJ', 'slredirect', 'slredirect',
               'B088KTG7V4', 'B01E9NTCH0', 'B005GLIBLI', 'B00317TKY6', 'B016TEFVQ8', 'B00O8X9B3W', 'B013P4ZPAC',
               'B071P7N6RN', 'B00CJ8IUQ2', 'B00NHXK9AI', 'B00O3Z4HT8', 'B00DYQ6IKS', 'B01HKMT1KK', 'B00BN2RP2A',
               'B00J2R8BYO', 'B01D6E38V4', 'B075TTHJCG', 'B011IW92NE', 'B013P6PP96', 'B004NPPLFM', 'B013P50GPK',
               'B072PR4L7V', 'B01BZ1RI8E', 'B00QQU4B6W', 'B08PC867QR', 'B013P4YAIK', 'B00NYZQX9A', 'B016TEXBWO',
               'B077XMQWZ7', 'B084N9981S', 'B0714K4M71', 'B013P6RUJY', 'B013P50UQK', 'B009Z6HRZQ', 'B003DKSOIY',
               'B0771NCY2P', 'B014DTGVY2', 'B07X56MWD8', 'B079TJFS1D', 'B00IIXTZ70', 'B00T8UCA42', 'B003KVRMM0',
               'B00ZCKE8WY', 'B088G24TT6', 'B013P6UQ1I', 'B0170DX4CU', 'B0058PJYYU', 'B0053B6Y7Y', 'B071FGJSNF',
               'B013P52CW0', 'B0048IQKTA', 'B00LIRW9HQ', 'B006SQYODY', 'B013P6OWIQ', 'B00YIZDJC4', 'B0039CQ758',
               'B0062TGHAU', 'B00WUDTNJE', 'B004AV90WE', 'B07V7GVXK6', 'B08D13BP78', 'B00NY0VF2K', 'B004AY8HDY',
               'B0734W3G4K', 'B008O7KXMQ', 'B00LUV2HRC', 'B004XTCZ48', 'B0007P0YT0', 'B01HU6XSAK', 'B000JZHE6Y',
               'B084S9L3VP', 'B00IA0IM1G', 'B013P50V14', 'B01AQ0EM2U', 'B013P6SYR6', 'B00Q7E2PFQ', 'B00CSZ29Z4',
               'B019EC0GX0', 'B013P6NOH6', 'B005EZVLCC', 'B00KO8IES8', 'B00MHKXBM0', 'B0032L55U4', 'B004HGJ73E',
               'B00YIZDJC4', 'B00IA0IM1G', 'B013P50V14', 'B0761WLL7R', 'B01AQ0EM2U', 'B00Q7E2PFQ', 'B072PR4L7V',
               'B017UFJNJQ', 'B00CSZ29Z4', 'B019EC0GX0', 'B00932F5BA', 'B005EZVLCC', 'B013P6WDYQ', 'B013P6RFWQ',
               'B004VNMEA6', 'B00KO8IES8', 'B0093QIUVS', 'B000PJEGXI', 'B0032L55U4', 'B013P6SYR6', 'B004HGJ73E',
               'B013P6QLHQ', 'B004AVG45U', 'B00BN2ROMG'],
    'Colgate': ['B01BNEWDFQ', 'B07JWVR1PK', 'B0823YDCWF', 'slredirect', 'slredirect', 'slredirect', 'irect/pica',
                'B071DPCBQG', 'B0014CQA16', 'B0014CV5MA', 'B00DRE1MYO', 'B000GGG0XY', 'B001WAKI3Q', 'B00QF427YW',
                'B00IV6L6J4', 'B09R6R82GQ', 'B082F1QH7S', 'B01BNHREXE', 'B001CIE8NE', 'B0795Z8SWZ', 'B09FXXY3T5',
                'B07C4ND9ZN', 'B07P7Y7Z81', 'B0B1SFCYSN', 'B01LTHYWB0', 'B09GNZV5BS', 'B071DPCBQG', 'B087MSHGN4',
                'B07X3H3LW3', 'B07NF9VG2H', 'B00WOSEKP2', 'B08L8S6XB6', 'B07FL12659', 'B07L3MX468', 'B08L8RRQ9X',
                'B01BNF0SA2', 'slredirect', 'slredirect', 'slredirect', 'irect/pica', 'B0046OI5L2', 'B07C55H1QQ',
                'B08L8R52HZ', 'B00O33B29S', 'B0899831LM', 'B0787G6SRY', 'B08S9RJBVG', 'B09SBYG6ZT', 'B004Z2484S',
                'B07PB32Q3C', 'B079W912ZQ', 'B086LKDB31', 'B002944VLY', 'B079KMWF2C', 'B0014CV5MA', 'B078XX7ZC3',
                'B004O6M4M8', 'B01BNEVH08', 'B08D5WTXKB', 'B08PWZCP1F', 'B01IA9ENI2', 'B010V82ZD0', 'B01N802Y4V',
                'B00CC6XSSQ', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect',
                'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'slredirect', 'B08FRPX6S9',
                'B07JWVQ2PQ', 'B01BNHR4E8', 'B09D6F49KS', 'B004GWVTBM', 'B002YXXZQM', 'B00A0GQ0BW', 'B07L625K8T',
                'B095FK166N', 'B001B5A6WU', 'B00H88K9EE', 'slredirect', 'slredirect', 'slredirect', 'B01MDS9635',
                'B08QR6C536', 'B07961C65H', 'B01MDRE6TG', 'B01EX42FDS', 'B0B2N9QZ5Y', 'B0014CQ9NK', 'B07DT7M9BS',
                'B08KQMC5MJ', 'B004NH2YLE', 'B007SCPLN4', 'B00JKQ5NPC', 'B0167JW02I', 'slredirect', 'slredirect',
                'B009OCJDT4', 'B089F9LKV9', 'B001ET72V6', 'B077FSKVDS', 'B015S1MLG6', 'B07VXS9TQL', 'B000GGG0XY',
                'B00B9GFQR6', 'B0787G4D3Q', 'B07DNFB7WN', 'B00MUEGDOG', 'B07NXDWX7S', 'B088BN6HZF', 'B01IKD596S',
                'B07XTW7H5S', 'B07KQR2KNP', 'B0195UTEXE', 'B07PZYMXN1', 'B01LTHYW92', 'B093SQLW2S', 'B07CCDD61K',
                'B07FWXHRK6', 'B00GOX33O2', 'B00J5JHY5G'],
}

# 运行文件输入公司的对应的在字典中的键
company = input('请输入字典中对应的公司的键：')  # Intel_Corp
asin_ = []
pageNumber_ = []


class Yamaxun(object):

    def start(self):
        list_total = dict_1[f'{company}']  # 更改字典调用的键
        for asin in list_total:
            total = [asin]
            self.spider_sp(asin, total)

    def spider_sp(self, asin, total):
        # print(asin)
        January_2016 = February_2016 = March_2016 = April_2016 = May_2016 = June_2016 = July_2016 = August_2016 = September_2016 = October_2016 = November_2016 = December_2016 = 0
        January_2017 = February_2017 = March_2017 = April_2017 = May_2017 = June_2017 = July_2017 = August_2017 = September_2017 = October_2017 = November_2017 = December_2017 = 0
        January_2018 = February_2018 = March_2018 = April_2018 = May_2018 = June_2018 = July_2018 = August_2018 = September_2018 = October_2018 = November_2018 = December_2018 = 0
        January_2019 = February_2019 = March_2019 = April_2019 = May_2019 = June_2019 = July_2019 = August_2019 = September_2019 = October_2019 = November_2019 = December_2019 = 0
        January_2020 = February_2020 = March_2020 = April_2020 = May_2020 = June_2020 = July_2020 = August_2020 = September_2020 = October_2020 = November_2020 = December_2020 = 0
        January_2021 = February_2021 = March_2021 = April_2021 = May_2021 = June_2021 = July_2021 = August_2021 = September_2021 = October_2021 = November_2021 = December_2021 = 0
        # 平均星级
        January_2016_star = February_2016_star = March_2016_star = April_2016_star = May_2016_star = June_2016_star = July_2016_star = August_2016_star = September_2016_star = October_2016_star = November_2016_star = December_2016_star = 0
        January_2017_star = February_2017_star = March_2017_star = April_2017_star = May_2017_star = June_2017_star = July_2017_star = August_2017_star = September_2017_star = October_2017_star = November_2017_star = December_2017_star = 0
        January_2018_star = February_2018_star = March_2018_star = April_2018_star = May_2018_star = June_2018_star = July_2018_star = August_2018_star = September_2018_star = October_2018_star = November_2018_star = December_2018_star = 0
        January_2019_star = February_2019_star = March_2019_star = April_2019_star = May_2019_star = June_2019_star = July_2019_star = August_2019_star = September_2019_star = October_2019_star = November_2019_star = December_2019_star = 0
        January_2020_star = February_2020_star = March_2020_star = April_2020_star = May_2020_star = June_2020_star = July_2020_star = August_2020_star = September_2020_star = October_2020_star = November_2020_star = December_2020_star = 0
        January_2021_star = February_2021_star = March_2021_star = April_2021_star = May_2021_star = June_2021_star = July_2021_star = August_2021_star = September_2021_star = October_2021_star = November_2021_star = December_2021_star = 0
        # 照片
        January_2016_counts = February_2016_counts = March_2016_counts = April_2016_counts = May_2016_counts = June_2016_counts = July_2016_counts = August_2016_counts = September_2016_counts = October_2016_counts = November_2016_counts = December_2016_counts = 0
        January_2017_counts = February_2017_counts = March_2017_counts = April_2017_counts = May_2017_counts = June_2017_counts = July_2017_counts = August_2017_counts = September_2017_counts = October_2017_counts = November_2017_counts = December_2017_counts = 0
        January_2018_counts = February_2018_counts = March_2018_counts = April_2018_counts = May_2018_counts = June_2018_counts = July_2018_counts = August_2018_counts = September_2018_counts = October_2018_counts = November_2018_counts = December_2018_counts = 0
        January_2019_counts = February_2019_counts = March_2019_counts = April_2019_counts = May_2019_counts = June_2019_counts = July_2019_counts = August_2019_counts = September_2019_counts = October_2019_counts = November_2019_counts = December_2019_counts = 0
        January_2020_counts = February_2020_counts = March_2020_counts = April_2020_counts = May_2020_counts = June_2020_counts = July_2020_counts = August_2020_counts = September_2020_counts = October_2020_counts = November_2020_counts = December_2020_counts = 0
        January_2021_counts = February_2021_counts = March_2021_counts = April_2021_counts = May_2021_counts = June_2021_counts = July_2021_counts = August_2021_counts = September_2021_counts = October_2021_counts = November_2021_counts = December_2021_counts = 0
        # requests 请求
        url = "https://www.amazon.com/hz/reviews-render/ajax/reviews/get/ref="
        pageNumber = 1
        while True:
            # 发起请求
            payload = {
                'sortBy': '',
                'reviewerType': 'all_reviews',
                'formatType': '',
                'mediaType': '',
                'filterByStar': '',
                'pageNumber': pageNumber,
                'filterByLanguage': '',
                'filterByKeyword': '',
                'shouldAppend': 'undefined',
                'deviceType': 'desktop',
                'canShowIntHeader': 'undefined',
                'reftag': 'cm_cr_arp_d_paging_btm_next_5',
                'pageSize': 10,
                'asin': asin,  # 需要填入自动化获取到的大列表
            }
            headers = {
                'content-type': 'application/x-www-form-urlencoded;charset=UTF-8',
                'origin': 'https://www.amazon.com',
                'referer': 'https://www.amazon.com/-/zh/product-reviews/B08KR7Y6LW/ref=cm_cr_getr_d_paging_btm_next_5?ie=UTF8&reviewerType=all_reviews&pageNumber=5',
                'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/104.0.0.0 Safari/537.36',
                'Cookie': 'ubid-main=134-1899731-7503431; session-id=147-0423982-4374215; sp-cdn="L5Z9:CN"; skin=noskin; session-token=V0C5WBoFsZg+cEdQfL9y7FSDwR8osuQw0lb2GouT1ltJ4ZVj8MJIggy38dntE9Zyj955oZ29pf1mAxjtYDoEa+PZVYNZGdwnVxyCJJ02wWOphkZmiBYYB7naTVcx/YmRJYDsQPQ6jUFb+FBfxAbkO2KMBF1f6FOfo6rFwGAbstyRxAD1YgecUnbOmJh6pBMQNJxqXil0f4jHchQH72Agx7xebVa7BtH7gXLX4YEIUiMN4wBwsQbAsK3+lPN8lEbM; x-main="wtrjUVnYSBu969cvPr89x71MPyChD2FBbeMyl8l9n3x8Pqfq@CkclmQdmlHH3Swh"; at-main=Atza|IwEBIAH4v8x583sgqVFyI6qtuyTJs3MiYQ-m0Wwcb6DwHlIQsRVW3lp7aApCg3-UO_dkg2OpriNgTkexOe-J9HIjSkPx7AqbddkK3P-9hcOGXuRXmBc7mSD3kjVDde8gfOejZ1oNp4TWkCoseADBSQsc1_GNCD4Lljl8SHYtMkOySHy8lhnLyFf08Z7idOpO2ToBBQP9SG1JXMavxl4_thIpaTy_; sess-at-main="2nvebepAE7BMFslzqXzJwF1efKQB3rDWjAoYLbdlkqw="; sst-main=Sst1|PQFeLoDMm2R8g1Mq2IEMc0GcCU3yZaQNC1tDyNARVt5Xcm_BaujgpHiFMiig_tvwylcU9XiAaNyyNEcG-fmIUZzGYV-Jpzn6YKFrbiaCLXgCOi8464XsecLUjVAVgaGmz4tEvq24tJhrVX2mr9OawFAEiV6pAXE1kyWdl_3z2J7dcK7e55R5FXYNzvH-uoqUzc-THKXAAi_tFio0Pw6680Up6SQBWNZ0cJx0oESwYEMxAwCsh-NyP7SOc91fwz0I8f6mPVxYbeXdma8dJtWyo8MzaOb4yu_N02GEXBe9223eXj8; session-id-time=2082787201l; i18n-prefs=USD; lc-main=zh_CN; csm-hit=tb:s-RRZ9Y9F5MJB028J57E2H|1659756341227&t:1659756341920&adb:adblk_no'
            }
            # response = requests.request("POST", url, headers=headers, data=payload, proxies=proxies)
            try:
                response = requests.request("POST", url, headers=headers, data=payload)
            except Exception:
                asin_.append(asin)
                pageNumber_.append(pageNumber)
                time.sleep(5)
                continue
            else:
                print(response.status_code)
                print(f'正在打印{asin}')
                print(f'正在打印{pageNumber}页')
                # print(response.text)
                if '来自 美国' in response.text:
                    divs = ''.join(''.join(response.text.split('&&&')).split(
                        r'["append","#cm_cr-review_list","<div class=\"a-section cr-list-loading reviews-loading aok-hidden\"></div><span class=\"cm-cr-translate-reviews-cta-container\"></span>\n"]')
                                   [1].split('["append","#cm_cr-review_list",""]')[0].split('\n')).replace('',
                                                                                                           '').split(
                        ' ["append","#cm_cr-review_list","')
                    print('=========================================')
                    pageNumber += 1
                    # 对请求到的数据进行处理
                    if '来自 美国' in divs[1]:
                        for div in divs:
                            if div == '':
                                continue
                            if '来自其他国家/地区' in div:
                                print('该页有部分美国的')
                                print('=========================================')
                                break
                            # print(div[:-2])
                            if '来自 美国' in div:
                                continue
                            else:
                                # 这里是真正需要的数据
                                user_total = []
                                self.deal(div=div[:-2], user_total=user_total)
                                # 所有信息的计算
                                # 月份
                                for user in user_total:
                                    if '2016' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2016 += 1
                                            January_2016_star += float(user[1])
                                            January_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2016 += 1
                                            February_2016_star += float(user[1])
                                            February_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2016 += 1
                                            March_2016_star += float(user[1])
                                            March_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2016 += 1
                                            April_2016_star += float(user[1])
                                            April_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2016 += 1
                                            May_2016_star += float(user[1])
                                            May_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2016 += 1
                                            June_2016_star += float(user[1])
                                            June_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2016 += 1
                                            July_2016_star += float(user[1])
                                            July_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2016 += 1
                                            August_2016_star += float(user[1])
                                            August_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2016 += 1
                                            September_2016_star += float(user[1])
                                            September_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2016 += 1
                                            October_2016_star += float(user[1])
                                            October_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2016 += 1
                                            November_2016_star += float(user[1])
                                            November_2016_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2016 += 1
                                            December_2016_star += float(user[1])
                                            December_2016_counts = user[4] + user[5]
                                    if '2017' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2017 += 1
                                            January_2017_star += float(user[1])
                                            January_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2017 += 1
                                            February_2017_star += float(user[1])
                                            February_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2017 += 1
                                            March_2017_star += float(user[1])
                                            March_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2017 += 1
                                            April_2017_star += float(user[1])
                                            April_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2017 += 1
                                            May_2017_star += float(user[1])
                                            May_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2017 += 1
                                            June_2017_star += float(user[1])
                                            June_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2017 += 1
                                            July_2017_star += float(user[1])
                                            July_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2017 += 1
                                            August_2017_star += float(user[1])
                                            August_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2017 += 1
                                            September_2017_star += float(user[1])
                                            September_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2017 += 1
                                            October_2017_star += float(user[1])
                                            October_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2017 += 1
                                            November_2017_star += float(user[1])
                                            November_2017_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2017 += 1
                                            December_2017_star += float(user[1])
                                            December_2017_counts = user[4] + user[5]
                                    if '2018' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2018 += 1
                                            January_2018_star += float(user[1])
                                            January_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2018 += 1
                                            February_2018_star += float(user[1])
                                            February_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2018 += 1
                                            March_2018_star += float(user[1])
                                            March_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2018 += 1
                                            April_2018_star += float(user[1])
                                            April_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2018 += 1
                                            May_2018_star += float(user[1])
                                            May_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2018 += 1
                                            June_2018_star += float(user[1])
                                            June_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2018 += 1
                                            July_2018_star += float(user[1])
                                            July_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2018 += 1
                                            August_2018_star += float(user[1])
                                            August_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2018 += 1
                                            September_2018_star += float(user[1])
                                            September_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2018 += 1
                                            October_2018_star += float(user[1])
                                            October_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2018 += 1
                                            November_2018_star += float(user[1])
                                            November_2018_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2018 += 1
                                            December_2018_star += float(user[1])
                                            December_2018_counts = user[4] + user[5]
                                    if '2019' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2019 += 1
                                            January_2019_star += float(user[1])
                                            January_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2019 += 1
                                            February_2019_star += float(user[1])
                                            February_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2019 += 1
                                            March_2019_star += float(user[1])
                                            March_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2019 += 1
                                            April_2019_star += float(user[1])
                                            April_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2019 += 1
                                            May_2019_star += float(user[1])
                                            May_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2019 += 1
                                            June_2019_star += float(user[1])
                                            June_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2019 += 1
                                            July_2019_star += float(user[1])
                                            July_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2019 += 1
                                            August_2019_star += float(user[1])
                                            August_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2019 += 1
                                            September_2019_star += float(user[1])
                                            September_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2019 += 1
                                            October_2019_star += float(user[1])
                                            October_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2019 += 1
                                            November_2019_star += float(user[1])
                                            November_2019_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2019 += 1
                                            December_2019_star += float(user[1])
                                            December_2019_counts = user[4] + user[5]
                                    if '2020' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2020 += 1
                                            January_2020_star += float(user[1])
                                            January_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2020 += 1
                                            February_2020_star += float(user[1])
                                            February_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2020 += 1
                                            March_2020_star += float(user[1])
                                            March_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2020 += 1
                                            April_2020_star += float(user[1])
                                            April_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2020 += 1
                                            May_2020_star += float(user[1])
                                            May_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2020 += 1
                                            June_2020_star += float(user[1])
                                            June_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2020 += 1
                                            July_2020_star += float(user[1])
                                            July_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2020 += 1
                                            August_2020_star += float(user[1])
                                            August_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2020 += 1
                                            September_2020_star += float(user[1])
                                            September_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2020 += 1
                                            October_2020_star += float(user[1])
                                            October_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2020 += 1
                                            November_2020_star += float(user[1])
                                            November_2020_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2020 += 1
                                            December_2020_star += float(user[1])
                                            December_2020_counts = user[4] + user[5]
                                    if '2021' == user[2].split(' ')[2]:
                                        if user[2].split(' ')[0] == 'January':
                                            January_2021 += 1
                                            January_2021_star += float(user[1])
                                            January_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'February':
                                            February_2021 += 1
                                            February_2021_star += float(user[1])
                                            February_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'March':
                                            March_2021 += 1
                                            March_2021_star += float(user[1])
                                            March_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'April':
                                            April_2021 += 1
                                            April_2021_star += float(user[1])
                                            April_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'May':
                                            May_2021 += 1
                                            May_2021_star += float(user[1])
                                            May_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'June':
                                            June_2021 += 1
                                            June_2021_star += float(user[1])
                                            June_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'July':
                                            July_2021 += 1
                                            July_2021_star += float(user[1])
                                            July_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'August':
                                            August_2021 += 1
                                            August_2021_star += float(user[1])
                                            August_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'September':
                                            September_2021 += 1
                                            September_2021_star += float(user[1])
                                            September_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'October':
                                            October_2021 += 1
                                            October_2021_star += float(user[1])
                                            October_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'November':
                                            November_2021 += 1
                                            November_2021_star += float(user[1])
                                            November_2021_counts = user[4] + user[5]
                                        if user[2].split(' ')[0] == 'December':
                                            December_2021 += 1
                                            December_2021_star += float(user[1])
                                            December_2021_counts = user[4] + user[5]
                    if '来自其他国家/地区' in response.text:
                        print('没有美国的了')
                        break
                else:
                    print('一开始就不是美国的')
                    break
        if January_2016 != 0:
            January_2016_star = January_2016_star / January_2016
        if February_2016 != 0:
            February_2016_star = February_2016_star / February_2016
        if March_2016 != 0:
            March_2016_star = March_2016_star / March_2016
        if April_2016 != 0:
            April_2016_star = April_2016_star / April_2016
        if May_2016 != 0:
            May_2016_star = May_2016_star / May_2016
        if June_2016 != 0:
            June_2016_star = June_2016_star / June_2016
        if July_2016 != 0:
            July_2016_star = July_2016_star / July_2016
        if August_2016 != 0:
            August_2016_star = August_2016_star / August_2016
        if September_2016 != 0:
            September_2016_star = September_2016_star / September_2016
        if October_2016 != 0:
            October_2016_star = October_2016_star / October_2016
        if November_2016 != 0:
            November_2016_star = November_2016_star / November_2016
        if December_2016 != 0:
            December_2016_star = December_2016_star / December_2016
        if January_2017 != 0:
            January_2017_star = January_2017_star / January_2017
        if February_2017 != 0:
            February_2017_star = February_2017_star / February_2017
        if March_2017 != 0:
            March_2017_star = March_2017_star / March_2017
        if April_2017 != 0:
            April_2017_star = April_2017_star / April_2017
        if May_2017 != 0:
            May_2017_star = May_2017_star / May_2017
        if June_2017 != 0:
            June_2017_star = June_2017_star / June_2017
        if July_2017 != 0:
            July_2017_star = July_2017_star / July_2017
        if August_2017 != 0:
            August_2017_star = August_2017_star / August_2017
        if September_2017 != 0:
            September_2017_star = September_2017_star / September_2017
        if October_2017 != 0:
            October_2017_star = October_2017_star / October_2017
        if November_2017 != 0:
            November_2017_star = November_2017_star / November_2017
        if December_2017 != 0:
            December_2017_star = December_2017_star / December_2017
        if January_2018 != 0:
            January_2018_star = January_2018_star / January_2018
        if February_2018 != 0:
            February_2018_star = February_2018_star / February_2018
        if March_2018 != 0:
            March_2018_star = March_2018_star / March_2018
        if April_2018 != 0:
            April_2018_star = April_2018_star / April_2018
        if May_2018 != 0:
            May_2018_star = May_2018_star / May_2018
        if June_2018 != 0:
            June_2018_star = June_2018_star / June_2018
        if July_2018 != 0:
            July_2018_star = July_2018_star / July_2018
        if August_2018 != 0:
            August_2018_star = August_2018_star / August_2018
        if September_2018 != 0:
            September_2018_star = September_2018_star / September_2018
        if October_2018 != 0:
            October_2018_star = October_2018_star / October_2018
        if November_2018 != 0:
            November_2018_star = November_2018_star / November_2018
        if December_2018 != 0:
            December_2018_star = December_2018_star / December_2018
        if January_2019 != 0:
            January_2019_star = January_2019_star / January_2019
        if February_2019 != 0:
            February_2019_star = February_2019_star / February_2019
        if March_2019 != 0:
            March_2019_star = March_2019_star / March_2019
        if April_2019 != 0:
            April_2019_star = April_2019_star / April_2019
        if May_2019 != 0:
            May_2019_star = May_2019_star / May_2019
        if June_2019 != 0:
            June_2019_star = June_2019_star / June_2019
        if July_2019 != 0:
            July_2019_star = July_2019_star / July_2019
        if August_2019 != 0:
            August_2019_star = August_2019_star / August_2019
        if September_2019 != 0:
            September_2019_star = September_2019_star / September_2019
        if October_2019 != 0:
            October_2019_star = October_2019_star / October_2019
        if November_2019 != 0:
            November_2019_star = November_2019_star / November_2019
        if December_2019 != 0:
            December_2019_star = December_2019_star / December_2019
        if January_2020 != 0:
            January_2020_star = January_2020_star / January_2020
        if February_2020 != 0:
            February_2020_star = February_2020_star / February_2020
        if March_2020 != 0:
            March_2020_star = March_2020_star / March_2020
        if April_2020 != 0:
            April_2020_star = April_2020_star / April_2020
        if May_2020 != 0:
            May_2020_star = May_2020_star / May_2020
        if June_2020 != 0:
            June_2020_star = June_2020_star / June_2020
        if July_2020 != 0:
            July_2020_star = July_2020_star / July_2020
        if August_2020 != 0:
            August_2020_star = August_2020_star / August_2020
        if September_2020 != 0:
            September_2020_star = September_2020_star / September_2020
        if October_2020 != 0:
            October_2020_star = October_2020_star / October_2020
        if November_2020 != 0:
            November_2020_star = November_2020_star / November_2020
        if December_2020 != 0:
            December_2020_star = December_2020_star / December_2020
        if January_2021 != 0:
            January_2021_star = January_2021_star / January_2021
        if February_2021 != 0:
            February_2021_star = February_2021_star / February_2021
        if March_2021 != 0:
            March_2021_star = March_2021_star / March_2021
        if April_2021 != 0:
            April_2021_star = April_2021_star / April_2021
        if May_2021 != 0:
            May_2021_star = May_2021_star / May_2021
        if June_2021 != 0:
            June_2021_star = June_2021_star / June_2021
        if July_2021 != 0:
            July_2021_star = July_2021_star / July_2021
        if August_2021 != 0:
            August_2021_star = August_2021_star / August_2021
        if September_2021 != 0:
            September_2021_star = September_2021_star / September_2021
        if October_2021 != 0:
            October_2021_star = October_2021_star / October_2021
        if November_2021 != 0:
            November_2021_star = November_2021_star / November_2021
        if December_2021 != 0:
            December_2021_star = December_2021_star / December_2021
        # print([January_2016_star, January_2016, January_2016_counts,
        #        February_2016_star, February_2016, February_2016_counts,
        #        March_2016_star, March_2016, March_2016_counts,
        #        April_2016_star, April_2016, April_2016_counts,
        #        May_2016_star, May_2016, May_2016_counts,
        #        June_2016_star, June_2016, June_2016_counts,
        #        July_2016_star, July_2016, July_2016_counts,
        #        August_2016_star, August_2016, August_2016_counts,
        #        September_2016_star, September_2016, September_2016_counts,
        #        October_2016_star, October_2016, October_2016_counts,
        #        November_2016_star, November_2016, November_2016_counts,
        #        December_2016_star, December_2016, December_2016_counts,
        #        January_2017_star, January_2017, January_2017_counts,
        #        February_2017_star, February_2017, February_2017_counts,
        #        March_2017_star, March_2017, March_2017_counts,
        #        April_2017_star, April_2017, April_2017_counts,
        #        May_2017_star, May_2017, May_2017_counts,
        #        June_2017_star, June_2017, June_2017_counts,
        #        July_2017_star, July_2017, July_2017_counts,
        #        August_2017_star, August_2017, August_2017_counts,
        #        September_2017_star, September_2017, September_2017_counts,
        #        October_2017_star, October_2017, October_2017_counts,
        #        November_2017_star, November_2017, November_2017_counts,
        #        December_2017_star, December_2017, December_2017_counts,
        #        January_2018_star, January_2018, January_2018_counts,
        #        February_2018_star, February_2018, February_2018_counts,
        #        March_2018_star, March_2018, March_2018_counts,
        #        April_2018_star, April_2018, April_2018_counts,
        #        May_2018_star, May_2018, May_2018_counts,
        #        June_2018_star, June_2018, June_2018_counts,
        #        July_2018_star, July_2018, July_2018_counts,
        #        August_2018_star, August_2018, August_2018_counts,
        #        September_2018_star, September_2018, September_2018_counts,
        #        October_2018_star, October_2018, October_2018_counts,
        #        November_2018_star, November_2018, November_2018_counts,
        #        December_2018_star, December_2018, December_2018_counts,
        #        January_2019_star, January_2019, January_2019_counts,
        #        February_2019_star, February_2019, February_2019_counts,
        #        March_2019_star, March_2019, March_2019_counts,
        #        April_2019_star, April_2019, April_2019_counts,
        #        May_2019_star, May_2019, May_2019_counts,
        #        June_2019_star, June_2019, June_2019_counts,
        #        July_2019_star, July_2019, July_2019_counts,
        #        August_2019_star, August_2019, August_2019_counts,
        #        September_2019_star, September_2019, September_2019_counts,
        #        October_2019_star, October_2019, October_2019_counts,
        #        November_2019_star, November_2019, November_2019_counts,
        #        December_2019_star, December_2019, December_2019_counts,
        #        January_2020_star, January_2020, January_2020_counts,
        #        February_2020_star, February_2020, February_2020_counts,
        #        March_2020_star, March_2020, March_2020_counts,
        #        April_2020_star, April_2020, April_2020_counts,
        #        May_2020_star, May_2020, May_2020_counts,
        #        June_2020_star, June_2020, June_2020_counts,
        #        July_2020_star, July_2020, July_2020_counts,
        #        August_2020_star, August_2020, August_2020_counts,
        #        September_2020_star, September_2020, September_2020_counts,
        #        October_2020_star, October_2020, October_2020_counts,
        #        November_2020_star, November_2020, November_2020_counts,
        #        December_2020_star, December_2020, December_2020_counts,
        #        January_2021_star, January_2021, January_2021_counts,
        #        February_2021_star, February_2021, February_2021_counts,
        #        March_2021_star, March_2021, March_2021_counts,
        #        April_2021_star, April_2021, April_2021_counts,
        #        May_2021_star, May_2021, May_2021_counts,
        #        June_2021_star, June_2021, June_2021_counts,
        #        July_2021_star, July_2021, July_2021_counts,
        #        August_2021_star, August_2021, August_2021_counts,
        #        September_2021_star, September_2021, September_2021_counts,
        #        October_2021_star, October_2021, October_2021_counts,
        #        November_2021_star, November_2021, November_2021_counts,
        #        December_2021_star, December_2021, December_2021_counts])
        total.extend([
            January_2016_star, January_2016, January_2016_counts,
            February_2016_star, February_2016, February_2016_counts,
            March_2016_star, March_2016, March_2016_counts,
            April_2016_star, April_2016, April_2016_counts,
            May_2016_star, May_2016, May_2016_counts,
            June_2016_star, June_2016, June_2016_counts,
            July_2016_star, July_2016, July_2016_counts,
            August_2016_star, August_2016, August_2016_counts,
            September_2016_star, September_2016, September_2016_counts,
            October_2016_star, October_2016, October_2016_counts,
            November_2016_star, November_2016, November_2016_counts,
            December_2016_star, December_2016, December_2016_counts,
            January_2017_star, January_2017, January_2017_counts,
            February_2017_star, February_2017, February_2017_counts,
            March_2017_star, March_2017, March_2017_counts,
            April_2017_star, April_2017, April_2017_counts,
            May_2017_star, May_2017, May_2017_counts,
            June_2017_star, June_2017, June_2017_counts,
            July_2017_star, July_2017, July_2017_counts,
            August_2017_star, August_2017, August_2017_counts,
            September_2017_star, September_2017, September_2017_counts,
            October_2017_star, October_2017, October_2017_counts,
            November_2017_star, November_2017, November_2017_counts,
            December_2017_star, December_2017, December_2017_counts,
            January_2018_star, January_2018, January_2018_counts,
            February_2018_star, February_2018, February_2018_counts,
            March_2018_star, March_2018, March_2018_counts,
            April_2018_star, April_2018, April_2018_counts,
            May_2018_star, May_2018, May_2018_counts,
            June_2018_star, June_2018, June_2018_counts,
            July_2018_star, July_2018, July_2018_counts,
            August_2018_star, August_2018, August_2018_counts,
            September_2018_star, September_2018, September_2018_counts,
            October_2018_star, October_2018, October_2018_counts,
            November_2018_star, November_2018, November_2018_counts,
            December_2018_star, December_2018, December_2018_counts,
            January_2019_star, January_2019, January_2019_counts,
            February_2019_star, February_2019, February_2019_counts,
            March_2019_star, March_2019, March_2019_counts,
            April_2019_star, April_2019, April_2019_counts,
            May_2019_star, May_2019, May_2019_counts,
            June_2019_star, June_2019, June_2019_counts,
            July_2019_star, July_2019, July_2019_counts,
            August_2019_star, August_2019, August_2019_counts,
            September_2019_star, September_2019, September_2019_counts,
            October_2019_star, October_2019, October_2019_counts,
            November_2019_star, November_2019, November_2019_counts,
            December_2019_star, December_2019, December_2019_counts,
            January_2020_star, January_2020, January_2020_counts,
            February_2020_star, February_2020, February_2020_counts,
            March_2020_star, March_2020, March_2020_counts,
            April_2020_star, April_2020, April_2020_counts,
            May_2020_star, May_2020, May_2020_counts,
            June_2020_star, June_2020, June_2020_counts,
            July_2020_star, July_2020, July_2020_counts,
            August_2020_star, August_2020, August_2020_counts,
            September_2020_star, September_2020, September_2020_counts,
            October_2020_star, October_2020, October_2020_counts,
            November_2020_star, November_2020, November_2020_counts,
            December_2020_star, December_2020, December_2020_counts,
            January_2021_star, January_2021, January_2021_counts,
            February_2021_star, February_2021, February_2021_counts,
            March_2021_star, March_2021, March_2021_counts,
            April_2021_star, April_2021, April_2021_counts,
            May_2021_star, May_2021, May_2021_counts,
            June_2021_star, June_2021, June_2021_counts,
            July_2021_star, July_2021, July_2021_counts,
            August_2021_star, August_2021, August_2021_counts,
            September_2021_star, September_2021, September_2021_counts,
            October_2021_star, October_2021, October_2021_counts,
            November_2021_star, November_2021, November_2021_counts,
            December_2021_star, December_2021, December_2021_counts,
        ])
        # total.extend(user_all)
        data = {
            f'{company}': total  # 更改公司的名称
        }
        print(len(total))
        self.SaveExcels(asin, data)
        print(f'错误商品编号：{asin_}')
        print(f'错误页数：{pageNumber_}')

    def deal(self, div, user_total):
        from lxml import etree
        print(div)
        user_data = []
        div = div.replace('\n', '').replace('\\', '')
        # print(div)
        xml = etree.HTML(div)
        # name = xml.xpath('//span[@class="a-profile-name"]/text()')
        name = f'{company}'
        star = xml.xpath('//div[@class="a-row"]/a/@title')
        # print(star)
        # print(type(star))
        buy = xml.xpath('//div[@class="a-row a-spacing-mini review-data review-format-strip"]/a')
        date = xml.xpath('//div[@class="a-section celwidget"]/span/text()')[0].split(' ')[0].replace('年', ' ').replace(
            '月', ' ').replace('日', ' ')
        # print(date.split(' '))
        # print('-----------------------------------------------------------------------------------------------------')
        if date.split(' ')[1] == '1':
            m = 'January'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '2':
            m = 'February'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '3':
            m = 'March'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '4':
            m = 'April'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '5':
            m = 'May'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '6':
            m = 'June'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '7':
            m = 'July'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '8':
            m = 'August'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '9':
            m = 'September'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '10':
            m = 'October'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '11':
            m = 'November'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        if date.split(' ')[1] == '12':
            m = 'December'
            y = date.split(' ')[0]
            t = date.split(' ')[2]
            date = f'{m} {t} {y}'
        print('-----------------------------------------------------------------------------------------------------')
        contents = xml.xpath('string(//span[@class="a-size-base review-text review-text-content"]/span/text())')
        # print(contents)
        img = len(xml.xpath('//img[@class="review-image-tile"]'))
        video = len(xml.xpath('//video[@class="vjs-tech"]'))
        if len(star) == 0:
            print('他没打分')
        else:
            star = star[0][0:3]
            if len(buy) == 0:
                print('他没买')
            else:
                if contents is not None:
                    print(date)
                    user_data.extend([name, star, date, contents, img, video])
                    user_total.append(user_data)
                else:
                    print('他没有评论')
        print('++++++++++++++++++++++++++')

    def SaveExcels(self, asin, data):
        # 创建保存excel表格的文件夹
        # os.getcwd() 获取当前文件路径
        os_mkdir_path = os.getcwd() + '/Amazon1/'
        # 判断这个路径是否存在，不存在就创建
        if not os.path.exists(os_mkdir_path):
            os.mkdir(os_mkdir_path)
        # 判断excel表格是否存在           工作簿文件名称
        os_excel_path = os_mkdir_path + f'{company}.xls'  # 更改公司的名称
        if not os.path.exists(os_excel_path):
            # 不存在，创建工作簿(也就是创建excel表格)
            workbook = xlwt.Workbook(encoding='utf-8')
            """工作簿中创建新的sheet表"""  # 设置表名
            worksheet1 = workbook.add_sheet(f'{company}', cell_overwrite_ok=True)  # 第一个参数为公司的名称
            """设置sheet表的表头"""
            sheet1_headers = (
                '商品代码',
                'January_2016_star', ' January_2016', ' January_2016_counts', 'February_2016_star', ' February_2016',
                ' February_2016_counts', 'March_2016_star', ' March_2016', ' March_2016_counts', 'April_2016_star',
                ' April_2016', ' April_2016_counts', 'May_2016_star', ' May_2016', ' May_2016_counts', 'June_2016_star',
                ' June_2016', ' June_2016_counts', 'July_2016_star', ' July_2016', ' July_2016_counts',
                'August_2016_star', ' August_2016', ' August_2016_counts', 'September_2016_star', ' September_2016',
                ' September_2016_counts', 'October_2016_star', ' October_2016', ' October_2016_counts',
                'November_2016_star', ' November_2016', ' November_2016_counts', 'December_2016_star', ' December_2016',
                ' December_2016_counts', 'January_2017_star', ' January_2017', ' January_2017_counts',
                'February_2017_star', ' February_2017', ' February_2017_counts', 'March_2017_star', ' March_2017',
                ' March_2017_counts', 'April_2017_star', ' April_2017', ' April_2017_counts', 'May_2017_star',
                ' May_2017', ' May_2017_counts', 'June_2017_star', ' June_2017', ' June_2017_counts', 'July_2017_star',
                ' July_2017', ' July_2017_counts', 'August_2017_star', ' August_2017', ' August_2017_counts',
                'September_2017_star', ' September_2017', ' September_2017_counts', 'October_2017_star',
                ' October_2017', ' October_2017_counts', 'November_2017_star', ' November_2017',
                ' November_2017_counts', 'December_2017_star', ' December_2017', ' December_2017_counts',
                'January_2018_star', ' January_2018', ' January_2018_counts', 'February_2018_star', ' February_2018',
                ' February_2018_counts', 'March_2018_star', ' March_2018', ' March_2018_counts', 'April_2018_star',
                ' April_2018', ' April_2018_counts', 'May_2018_star', ' May_2018', ' May_2018_counts', 'June_2018_star',
                ' June_2018', ' June_2018_counts', 'July_2018_star', ' July_2018', ' July_2018_counts',
                'August_2018_star', ' August_2018', ' August_2018_counts', 'September_2018_star', ' September_2018',
                ' September_2018_counts', 'October_2018_star', ' October_2018', ' October_2018_counts',
                'November_2018_star', ' November_2018', ' November_2018_counts', 'December_2018_star', ' December_2018',
                ' December_2018_counts', 'January_2019_star', ' January_2019', ' January_2019_counts',
                'February_2019_star', ' February_2019', ' February_2019_counts', 'March_2019_star', ' March_2019',
                ' March_2019_counts', 'April_2019_star', ' April_2019', ' April_2019_counts', 'May_2019_star',
                ' May_2019', ' May_2019_counts', 'June_2019_star', ' June_2019', ' June_2019_counts', 'July_2019_star',
                ' July_2019', ' July_2019_counts', 'August_2019_star', ' August_2019', ' August_2019_counts',
                'September_2019_star', ' September_2019', ' September_2019_counts', 'October_2019_star',
                ' October_2019', ' October_2019_counts', 'November_2019_star', ' November_2019',
                ' November_2019_counts', 'December_2019_star', ' December_2019', ' December_2019_counts',
                'January_2020_star', ' January_2020', ' January_2020_counts', 'February_2020_star', ' February_2020',
                ' February_2020_counts', 'March_2020_star', ' March_2020', ' March_2020_counts', 'April_2020_star',
                ' April_2020', ' April_2020_counts', 'May_2020_star', ' May_2020', ' May_2020_counts', 'June_2020_star',
                ' June_2020', ' June_2020_counts', 'July_2020_star', ' July_2020', ' July_2020_counts',
                'August_2020_star', ' August_2020', ' August_2020_counts', 'September_2020_star', ' September_2020',
                ' September_2020_counts', 'October_2020_star', ' October_2020', ' October_2020_counts',
                'November_2020_star', ' November_2020', ' November_2020_counts', 'December_2020_star', ' December_2020',
                ' December_2020_counts', 'January_2021_star', ' January_2021', ' January_2021_counts',
                'February_2021_star', ' February_2021', ' February_2021_counts', 'March_2021_star', ' March_2021',
                ' March_2021_counts', 'April_2021_star', ' April_2021', ' April_2021_counts', 'May_2021_star',
                ' May_2021', ' May_2021_counts', 'June_2021_star', ' June_2021', ' June_2021_counts', 'July_2021_star',
                ' July_2021', ' July_2021_counts', 'August_2021_star', ' August_2021', ' August_2021_counts',
                'September_2021_star', ' September_2021', ' September_2021_counts', 'October_2021_star',
                ' October_2021', ' October_2021_counts', 'November_2021_star', ' November_2021',
                ' November_2021_counts', 'December_2021_star', ' December_2021', ' December_2021_counts'
            )
            # 将表头写入工作簿
            for header_num in range(0, len(sheet1_headers)):
                # 设置表格长度
                worksheet1.col(header_num).width = 2560 * 3
                # 写入            行, 列,           内容
                worksheet1.write(0, header_num, sheet1_headers[header_num])
            # 循环结束，代表表头写入完成，保存工作簿
            workbook.save(os_excel_path)
        # 判断工作簿是否存在
        if os.path.exists(os_excel_path):
            # 打开工作簿
            workbook = xlrd.open_workbook(os_excel_path)
            # 获取工作薄中所有表的个数
            sheets = workbook.sheet_names()
            # print(f'工作簿中有{len(sheets)}表')
            for i in range(len(sheets)):
                for name in data.keys():
                    worksheet = workbook.sheet_by_name(sheets[i])
                    # 获取工作薄中所有表中的表名与数据名对比
                    if worksheet.name == name:
                        # 获取表中已存在的行数
                        rows_old = worksheet.nrows
                        # 将xlrd对象拷贝转化为xlwt对象
                        new_workbook = copy(workbook)
                        # 获取转化后的工作薄中的第i张表
                        new_worksheet = new_workbook.get_sheet(i)
                        for num in range(0, len(data[name])):
                            new_worksheet.write(rows_old, num, data[name][num])
                        print(f'保存数据{asin}完毕')
                        new_workbook.save(os_excel_path)


if __name__ == '__main__':
    a = Yamaxun()
    a.start()
    # a.spider_sp()
